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GNU/Linux AI & Alife HOWTO
by John Eikenberry
v3.1, 31 Mar 2013
This howto mainly contains information about, and links to, various AI
related software libraries, applications, etc. that work on the
GNU/Linux platform. All of it is (at least) free for personal use.
The new master page for this document is
______________________________________________________________________
Table of Contents
1. Introduction
1.1 Purpose
1.2 What's New
1.3 Where to find this software
1.4 Updates and comments
1.5 Copyright/License
2. Symbolic Systems (GOFAI)
2.1 AI class/code libraries
2.2 AI software kits, applications, etc.
3. Connectionism
3.1 Connectionist class/code libraries
3.2 Connectionist software kits/applications
4. Evolutionary Computing
4.1 EC class/code libraries
4.2 EC software kits/applications
5. Alife & Complex Systems
5.1 Alife & CS class/code libraries
5.2 Alife & CS software kits, applications, etc.
6. Agents & Robotics
6.1 Software Agents
6.2 Robotics and Simulators
7. Statistical & Machine Learning
7.1 Libraries
7.2 Applications
8. Missing & Dead
8.1 MIA - Projects missing linkage.
8.2 Dead projects.
______________________________________________________________________
1. Introduction
1.1. Purpose
The GNU/Linux OS has evolved from its origins in hackerdom to a full
blown UNIX, capable of rivaling any commercial UNIX. It now provides
an inexpensive base to build a great workstation. It has shed its
hardware dependencies, having been ported to DEC Alphas, Sparcs,
PowerPCs, and many others. This potential speed boost along with its
networking support will make it great for workstation clusters. As a
workstation it allows for all sorts of research and development,
including artificial intelligence and artificial life.
The purpose of this Howto is to provide a source to find out about
various software packages, code libraries, and anything else that will
help someone get started working with (and find resources for)
artificial intelligence, artificial life, etc. All done with
GNU/Linux specifically in mind.
1.2. What's New
· v3.1 -
New entries: ``''.
Resurfaced MIA entry: ``''.
Deleted the section on "Programming languages". I moved the couple
of agent-oriented domain specific languages, ``'' and ``'', into
the sections relevant to the work. I removed the rest as they were
all just general purpose languages.
Changed my Copyright/License to CC0. That is no copyright, it is
Public Domain. I no longer wish to take part in copyright;
· v3.0 -
New entries: ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'',
``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'',
``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'',
``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'',
``'', ``'', ``'', ``'', ``'', ``'', ``''. ``'', ``'', ``'', ``''
and ``''.
Changed the name of the "Traditional" section to ``''. Added new
section, ``''.
Seems someone has resuscitated ``''. Not very active, but enough to
pull out of the dead projects area and place back amounst the
living. I also fixed many links and moved quite a few dead projects
to ``''.
· v2.4 -
New entries: ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'',
``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'',
Alloy (removed), ``'', ``'', ``'', ``'', ``'', ``'', ``'', Curry
(removed), ``'', ``'', and STELLA (removed).
I chopped the Agents section into two sub-sections, one for ``''
and one for ``''. I play it a bit fast and loose in my deciding
what goes into each category, but it is an improvement.
MIA found! ``'' the cellular automata programming system. Fixed
many bad links and cleaned out missing projects.
· v2.3 -
New entries: ``'', ``'', Push (removed), ``'', ``'', ``'', ``'',
``'', ``'', and ``''.
Updated information for some entries including ``'', ``'', ``'',
``'', ECLiPSe (removed), ``'', ``'', ``'' and others.
I also changed the MIA section to ``'' which now groups into
subsections entries with bad links that I can't find replacements
for and long dead projects.
· v2.2 -
Fixed a some bad links and was forced to move a few entries into
the MIA (missing) section. I also removed one duplicate entry.
New entries: ``'', ``'', ``'', ``'', ``'', ``'', ``'' and ``''.
· v2.1 -
New entries: ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'',
``'' and ``''
· v2.0 - Ran linkchecker and for any bad links I either found a new
link or removed the item. See the new section MIA for a list of the
removed entries (please let me know if you know of a new home for
them).
New entries: ``'', ``'', ``'', ``'', ``'', Maude (removed), ECLiPSe
(removed), lush (removed), and ``''
· v1.9 - One new entry (``'') and fixed the link below to the dynamic
list (now defunct).
· v1.8 - Cleaned up bad links, finding new ones where possible and
eliminating those that seem to have disappeared. Quite a few new
entries as well.
New entries: ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'',
``'', ``'', and ``''
· v1.7 - Another 9 new entries, a bunch of links fixed, and a few
items removed that have vanished from the net.
New entries: ``'', ``'', ``'', ``'', ``'', ``'', ``'', ``'', and
``UTCS Neural Nets Research Group Software''
· v1.6 - 9 new entries, a couple link fixes and one duplicate item
removed.
· v1.5 - 26 new entries plus a couple link fixes.
· v1.4 - 10 new updates and fixed some lisp-related links.
· v1.3 - Putting a dent in the backlog, I added 30+ new entries today
and submitted it to the LDP.
· Previous records were in a mixed format with site updates. See the
old notes section of the master site for them.
1.3. Where to find this software
All this software should be available via the net (ftp || http). The
links to where to find it will be provided in the description of each
package. There will also be plenty of software not covered on these
pages (which is usually platform independent) located on one of the
resources listed on the links section of the Master Site (given
above).
1.4. Updates and comments
If you find any mistakes, know of updates to one of the items below,
or have problems compiling any of the applications, please mail me at:
jae@zhar.net and I'll see what I can do.
If you know of any AI/Alife applications, class libraries, etc. Please
email me about them. Include your name, ftp and/or http sites where
they can be found, plus a brief overview/commentary on the software
(this info would make things a lot easier on me... but don't feel
obligated ;).
I know that keeping this list up to date and expanding it will take
quite a bit of work. So please be patient (I do have other projects).
I hope you will find this document helpful.
1.5. Copyright/License
CC0
To the extent possible under law, John Eikenberry has waived all
copyright and related or neighboring rights to this work. This work is
published from: United States.
2. Symbolic Systems (GOFAI)
Traditionally AI was based around the ideas of logic, rule systems,
linguistics, and the concept of rationality. At its roots are
programming languages such as Lisp and Prolog though newer systems
tend to use more popular procedural languages. Expert systems are the
largest successful example of this paradigm. An expert system
consists of a detailed knowledge base and a complex rule system to
utilize it. Such systems have been used for such things as medical
diagnosis support and credit checking systems.
2.1. AI class/code libraries
These are libraries of code or classes for use in programming within
the artificial intelligence field. They are not meant as stand alone
applications, but rather as tools for building your own applications.
ACL2
· Web site: www.cliki.net/ACL2
ACL2 (A Computational Logic for Applicative Common Lisp) is a
theorem prover for industrial applications. It is both a
mathematical logic and a system of tools for constructing proofs
in the logic. ACL2 works with GCL (GNU Common Lisp).
AI Kernel
· Web site: aikernel.sourceforge.net
· Sourceforge site: sourceforge.net/projects/aikernel/
The AI Kernel is a re-usable artificial intelligence engine that
uses natural language processing and an Activator / Context
model to allow multi tasking between installed cells.
AI Search II
· WEB site:
Basically, the library offers the programmer a set of search
algorithms that may be used to solve all kind of different
problems. The idea is that when developing problem solving
software the programmer should be able to concentrate on the
representation of the problem to be solved and should not need
to bother with the implementation of the search algorithm that
will be used to actually conduct the search. This idea has been
realized by the implementation of a set of search classes that
may be incorporated in other software through C++'s features of
derivation and inheritance. The following search algorithms
have been implemented:
· depth-first tree and graph search.
· breadth-first tree and graph search.
· uniform-cost tree and graph search.
· best-first search.
· bidirectional depth-first tree and graph search.
· bidirectional breadth-first tree and graph search.
· AND/OR depth tree search.
· AND/OR breadth tree search.
This library has a corresponding book, "Object-Oriented
Artificial Intelligence, Using C++".
Alchemy
· Web site:
Alchemy is a software package providing a series of algorithms
for statistical relational learning and probabilistic logic
inference, based on the Markov logic representation. Alchemy
allows you to easily develop a wide range of AI applications,
including:
· Collective classification
· Link prediction
· Entity resolution
· Social network modeling
· Information extraction
Aleph
· Web site:
This document provides reference information on A Learning
Engine for Proposing Hypotheses (Aleph). Aleph is an Inductive
Logic Programming (ILP) system. Aleph is intended to be a
prototype for exploring ideas. Aleph is an ILP algorithm
implemented in Prolog by Dr Ashwin Srinivasan at the Oxford
University Computing Laboratory, and is written specifically for
compilation with the YAP Prolog compiler
Microprograms
· Web site:
A collection of case-based reasoning "micro" versions of
dissertation programs that were developed for pedagogical
purposes. These programs are meant to distill key aspects of the
original programs into a form that can be easily understood,
modified, and extended.
Chess In Lisp (CIL)
· Web site: *found as part of the CLOCC archive at:
clocc.sourceforge.net
The CIL (Chess In Lisp) foundation is a Common Lisp
implementaion of all the core functions needed for development
of chess applications. The main purpose of the CIL project is
to get AI researchers interested in using Lisp to work in the
chess domain.
clasp
· Web site:
clasp is an answer set solver for (extended) normal logic
programs. It combines the high-level modeling capacities of
answer set programming (ASP) with state-of-the-art techniques
from the area of Boolean constraint solving. The primary clasp
algorithm relies on conflict-driven nogood learning, a technique
that proved very successful for satisfiability checking (SAT).
Unlike other learning ASP solvers, clasp does not rely on legacy
software, such as a SAT solver or any other existing ASP solver.
Rather, clasp has been genuinely developed for answer set
solving based on conflict-driven nogood learning. clasp can be
applied as an ASP solver (on LPARSE output format), as a SAT
solver (on simplified DIMACS/CNF format), or as a PB solver (on
OPB format).
ConceptNet
· Web site:
· Old Web site:
ConceptNet aims to give computers access to common-sense
knowledge, the kind of information that ordinary people know but
usually leave unstated. The data in ConceptNet was collected
from ordinary people who contributed it over the Web. ConceptNet
represents this data in the form of a semantic network, and
makes it available to be used in natural language processing and
intelligent user interfaces.
This API provides Python code with access to both ConceptNet 3
and the development database that will become ConceptNet 4, and
the natural language tools necessary to work with it. It uses
Django for interacting with the database.
ERESYE
· Web site:
· Tutorial:
ERESYE means ERlang Expert SYstem Engine. It is a library to
write expert systems and rule processing engines using the
Erlang programming language. It allows to create multiple
engines, each one with its own facts and rules to be processed.
FFLL
· Web site: ffll.sourceforge.net
The Free Fuzzy Logic Library (FFLL) is an open source fuzzy
logic class library and API that is optimized for speed critical
applications, such as video games. FFLL is able to load files
that adhere to the IEC 61131-7 standard.
FLiP
· Web site:
Flip is a logical framework written in Python. A logical
framework is a library for defining logics and writing
applications such as theorem provers. The checker can use
different logics; Flip comes with several. You can add another
logic, or add axioms and derived rules, by writing a module in
Python. Python is both the object language and the metalanguage.
Formulas, inference rules, and entire proofs are Python
expressions. Prover commands are Python functions.
Fuzzy sets for Ada
· Web site:
· Freshmeat:
Fuzzy sets for Ada is a library providing implementations of
confidence factors with the operations not, and, or, xor, +, and
*, classical fuzzy sets with the set-theoretic operations and
the operations of the possibility theory, intuitionistic fuzzy
sets with the operations on them, fuzzy logic based on the
intuitionistic fuzzy sets and the possibility theory; fuzzy
numbers, both integer and floating-point with conventional
arithmetical operations, and linguistic variables and sets of
linguistic variables with operations on them. String-oriented
I/O is supported.
HTK
· Web site: htk.eng.cam.ac.uk
The Hidden Markov Model Toolkit (HTK) is a portable toolkit for
building and manipulating hidden Markov models. HTK consists of
a set of library modules and tools available in C source form.
The tools provide sophisticated facilities for speech analysis,
HMM training, testing and results analysis. The software
supports HMMs using both continuous density mixture Gaussians
and discrete distributions and can be used to build complex HMM
systems. The HTK release contains extensive documentation and
examples.
JCK
· Web site: www.pms.informatik.uni-muenchen.de/software/jack/
JCK is a new library providing constraint programming and search
for Java.
· JCK consists of three components:
· - JCHR: Java Constraint Handling Rules. A high-level
language to write constraint solvers.
· - JASE: Java Abstract Search Engine. A generic search engine
for JCHR to solve constraint problems.
· - VisualCHR: An interactive tool to visualize JCHR
computations.
Source and documentation available from link above.
KANREN
· Web site: kanren.sourceforge.net
KANREN is a declarative logic programming system with first-
class relations, embedded in a pure functional subset of Scheme.
The system has a set-theoretical semantics, true unions, fair
scheduling, first-class relations, lexically-scoped logical
variables, depth-first and iterative deepening strategies. The
system achieves high performance and expressivity without cuts.
LK
· Web site: www.cs.utoronto.ca/~neto/research/lk/
LK is an implementation of the Lin-Kernighan heuristic for the
Traveling Salesman Problem and for the minimum weight perfect
matching problem. It is tuned for 2-d geometric instances, and
has been applied to certain instances with up to a million
cities. Also included are instance generators and Perl scripts
for munging TSPLIB instances.
This implementation introduces ``efficient cluster
compensation'', an experimental algorithmic technique intended
to make the Lin-Kernighan heuristic more robust in the face of
clustered data.
LingPipe
· Web site:
LingPipe is a state-of-the-art suite of natural language
processing tools written in Java that performs tokenization,
sentence detection, named entity detection, coreference
resolution, classification, clustering, part-of-speech tagging,
general chunking, fuzzy dictionary matching.
Logfun
· Web site:
Logfun is a library of logic functors. A logic functor is a
function that can be applied to zero, one or several logics so
as to produce a new logic as a combination of argument logics.
Each argument logic can itself be built by combination of logic
functors. The signature of a logic is made of a parser and a
printer of formulas, logical operations such as a theorem prover
for entailment between formulas, and more specific operations
required by Logical Information Systems (LIS). Logic functors
can be concrete domains like integers, strings, or algebraic
combinators like product or sum of logics.
Logic functors are coded as Objective Caml modules. A logic
semantics is associated to each of these logic functors. This
enables to define properties of logics like the consistency and
completeness of the entailment prover, and to prove under which
conditions a generated entailement prover satisfies these
properties given the properties of argument logics.
Loom
· Web site:
* Note: Loom has been succeeded by ``''.
Loom is a language and environment for constructing intelligent
applications. The heart of Loom is a knowledge representation
system that is used to provide deductive support for the
declarative portion of the Loom language. Declarative knowledge
in Loom consists of definitions, rules, facts, and default
rules. A deductive engine called a classifier utilizes forward-
chaining, semantic unification and object-oriented truth
maintainance technologies in order to compile the declarative
knowledge into a network designed to efficiently support on-line
deductive query processing.
The Loom system implements a logic-based pattern matcher that
drives a production rule facility and a pattern-directed method
dispatching facility that supports the definition of object-
oriented methods. The high degree of integration between Loom's
declarative and procedural components permits programmers to
utilize logic programming, production rule, and object-oriented
programming paradigms in a single application. Loom can also be
used as a deductive layer that overlays an ordinary CLOS
network. In this mode, users can obtain many of the benefits of
using Loom without impacting the function or performance of
their CLOS-based applications.
maxent
· Python/C++ version:
http://homepages.inf.ed.ac.uk/lzhang10/maxent_toolkit.html
· Java version: maxent.sourceforge.net
The Maximum Entropy Toolkit provides a set of tools and library
for constructing maximum entropy (maxent) models in either
Python or C++. Maxent Entropy Model is a general purpose
machine learning framework that has proved to be highly
expressive and powerful in statistical natural language
processing, statistical physics, computer vision and many other
fields.
It features conditional maximum entropy models, L-BFGS and GIS
parameter estimation, Gaussian Prior smoothing, a C++ API, a
Python extension module, a command line utility, and good
documentation. A Java version is also available.
Nyquist
· Web site: www-2.cs.cmu.edu/~music/nyquist/
The Computer Music Project at CMU is developing computer music
and interactive performance technology to enhance human musical
experience and creativity. This interdisciplinary effort draws
on Music Theory, Cognitive Science, Artificial Intelligence and
Machine Learning, Human Computer Interaction, Real-Time Systems,
Computer Graphics and Animation, Multimedia, Programming
Languages, and Signal Processing. A paradigmatic example of
these interdisciplinary efforts is the creation of interactive
performances that couple human musical improvisation with
intelligent computer agents in real-time.
OpenCyc
· Web site:
· Alt Web site:
OpenCyc is the open source version of Cyc, the largest and most
complete general knowledge base and commonsense reasoning
engine. An ontology based on 6000 concepts and 60000 assertions
about them.
Pattern
· Web site:
Pattern is a web mining module for the Python programming
language. It bundles tools for data retrieval (Google + Twitter
+ Wikipedia API, web spider, HTML DOM parser), text analysis
(rule-based shallow parser, WordNet interface, syntactical +
semantical n-gram search algorithm, tf-idf + cosine similarity +
LSA metrics) and data visualization (graph networks).
PowerLoom
· Web site:
PowerLoom is the successor to the ``'' knowledge representation
system. It provides a language and environment for constructing
intelligent, knowledge-based applications. PowerLoom uses a
fully expressive, logic-based representation language (a variant
of KIF). It uses a natural deduction inference engine that
combines forward and backward chaining to derive what logically
follows from the facts and rules asserted in the knowledge base.
While PowerLoom is not a description logic, it does have a
description classifier which uses technology derived from the
Loom classifier to classify descriptions expressed in full first
order predicate calculus (see paper). PowerLoom uses modules as
a structuring device for knowledge bases, and ultra-lightweight
worlds to support hypothetical reasoning.
To implement PowerLoom we developed a new programming language
called STELLA, which is a Strongly Typed, Lisp-like LAnguage
that can be translated into Lisp, C++ and Java. PowerLoom is
written in STELLA and therefore available in Common-Lisp, C++
and Java versions.
PyCLIPS
· Web site:
PyCLIPS is an extension module for the Python language that
embeds full CLIPS functionality in Python applications. This
means that you can provide Python with a strong, reliable,
widely used and well documented inference engine.
Pyke
· Web site:
Pyke is a knowledge-based inference engine (expert system)
written in 100% python that can:
· Do both forward-chaining (data driven) and backward-chaining
(goal directed) inferencing.
· Pyke may be embedded into any python program.
· Automatically generate python programs by assembling
individual python functions into complete call graphs.
· This is done through a unique design where the individual
python functions are attached to backward-chaining rules.
· Unlike other approaches to code reuse (e.g. Zope adapters
and generic functions), this allows the inference engine
to ensure that all of the function's requirements are
completely satisfied, by examining the entire call graph
down to the leaves, before any of the functions are
executed.
· This is an optional feature. You don't need to use it if
you just want the inferencing capability by itself.
python-dlp
· Web site:
python-dlp aims to be a contemporary expert system based on the
Semantic Web technologies. Traditionally, expert systems are an
application of computing and artificial intelligence with the
aim of supporting software that attempts to reproduce the
deterministic behavior of one or more human experts in a
specific problem domain. It utilizes the efficient RETE_UL
algorithm as the 'engine' for the expert system
Reverend
· Web site:
Reverned is a general purpose Bayesian classifier written in
Python. It is designed to be easily extended to any application
domain.
Screamer
· Latest version is part of CLOCC: clocc.sourceforge.net
Screamer is an extension of Common Lisp that adds support for
nondeterministic programming. Screamer consists of two levels.
The basic nondeterministic level adds support for backtracking
and undoable side effects. On top of this nondeterministic
substrate, Screamer provides a comprehensive constraint
programming language in which one can formulate and solve mixed
systems of numeric and symbolic constraints. Together, these two
levels augment Common Lisp with practically all of the
functionality of both Prolog and constraint logic programming
languages such as CHiP and CLP(R). Furthermore, Screamer is
fully integrated with Common Lisp. Screamer programs can coexist
and interoperate with other extensions to Common Lisp such as
CLOS, CLIM and Iterate.
SimpleAI
· Web site:
Python library that implements many of the artificial
intelligence algorithms described on the book "Artificial
Intelligence, a Modern Approach", from Stuart Russel and Peter
Norvig. Emphasis on creating a stable, modern, and maintainable
version. We are testing the majority of the lib, it's available
via pip install, has a standard repo and lib architecture, well
documented, respects the python pep8 guidelines, provides only
working code (no placeholders for future things), etc. Even the
internal code is written with readability in mind, not only the
external API.
There is also which implements these algorithms as well. Though
it hasn't seen activity in a while.
SPASS
· Web site:
SPASS: An Automated Theorem Prover for First-Order Logic with
Equality
If you are interested in first-order logic theorem proving, the
formal analysis of software, systems, protocols, formal
approaches to AI planning, decision procedures, modal logic
theorem proving, SPASS may offer you the right functionality.
Torch
· Web site: www.torch.ch
· Successor: ``''
Torch is a machine-learning library, written in C++. Its aim is
to provide the state-of-the-art of the best algorithms. It is,
and it will be, in development forever.
· Many gradient-based methods, including multi-layered
perceptrons, radial basis functions, and mixtures of experts.
Many small "modules" (Linear module, Tanh module, SoftMax
module, ...) can be plugged together.
· Support Vector Machine, for classification and regression.
· Distribution package, includes Kmeans, Gaussian Mixture
Models, Hidden Markov Models, and Bayes Classifier, and
classes for speech recognition with embedded training.
· Ensemble models such as Bagging and Adaboost.
· Non-parametric models such as K-nearest-neighbors, Parzen
Regression and Parzen Density Estimator.
·
Torch is an open library whose authors encourage everybody to
develop new packages to be included in future versions on the
official website.
2.2. AI software kits, applications, etc.
These are various applications, software kits, etc. meant for research
in the field of artificial intelligence. Their ease of use will vary,
as they were designed to meet some particular research interest more
than as an easy to use commercial package.
ASA - Adaptive Simulated Annealing
· Web site:
ASA (Adaptive Simulated Annealing) is a powerful global
optimization C-code algorithm especially useful for nonlinear
and/or stochastic systems.
ASA is developed to statistically find the best global fit of a
nonlinear non-convex cost-function over a D-dimensional space.
This algorithm permits an annealing schedule for 'temperature' T
decreasing exponentially in annealing-time k, T = T_0 exp(-c
k^1/D). The introduction of re-annealing also permits
adaptation to changing sensitivities in the multi-dimensional
parameter-space. This annealing schedule is faster than fast
Cauchy annealing, where T = T_0/k, and much faster than
Boltzmann annealing, where T = T_0/ln k.
Babylon
· Archive:
BABYLON is a modular, configurable, hybrid environment for
developing expert systems. Its features include objects, rules
with forward and backward chaining, logic (Prolog) and
constraints. BABYLON is implemented and embedded in Common Lisp.
cfengine
· Web site: www.iu.hio.no/cfengine/
Cfengine, or the configuration engine is a very high level
language for building expert systems which administrate and
configure large computer networks. Cfengine uses the idea of
classes and a primitive form of intelligence to define and
automate the configuration of large systems in the most
economical way possible. Cfengine is design to be a part of
computer immune systems.
CLIPS
· Web site:
CLIPS is a productive development and delivery expert system
tool which provides a complete environment for the construction
of rule and/or object based expert systems.
CLIPS provides a cohesive tool for handling a wide variety of
knowledge with support for three different programming
paradigms: rule-based, object-oriented and procedural. Rule-
based programming allows knowledge to be represented as
heuristics, or "rules of thumb," which specify a set of actions
to be performed for a given situation. Object-oriented
programming allows complex systems to be modeled as modular
components (which can be easily reused to model other systems or
to create new components). The procedural programming
capabilities provided by CLIPS are similar to capabilities found
in languages such as C, Pascal, Ada, and LISP.
EMA-XPS - A Hybrid Graphic Expert System Shell
· Web site:
EMA-XPS is a hybrid graphic expert system shell based on the
ASCII-oriented shell Babylon 2.3 of the German National Research
Center for Computer Sciences (GMD). In addition to Babylon's AI-
power (object oriented data representation, forward and backward
chained rules - collectible into sets, horn clauses, and
constraint networks) a graphic interface based on the X11 Window
System and the OSF/Motif Widget Library has been provided.
Eprover
· Web site: http://www.eprover.org/
· Web site: http://www4.informatik.tu-
muenchen.de/~schulz/WORK/eprover.html
The E Equational Theorem Prover is a purely equational theorem
prover. The core proof procedure operates on formulas in clause
normal form, using a calculus that combines superposition (with
selection of negative literals) and rewriting. No special rules
for non-equational literals have been implemented, i.e.,
resolution is simulated via paramodulation and equality
resolution. The basic calculus is extended with rules for AC
redundancy elemination, some contextual simplification, and
pseudo-splitting. The latest version of E also supports
simultaneous paramodulation, either for all inferences or for
selected inferences.
E is based on the DISCOUNT-loop variant of the given-clause
algorithm, i.e. a strict separation of active and passive facts.
Proof search in E is primarily controlled by a literal selection
strategy, a clause evaluation heuristic, and a simplification
ordering. The prover supports a large number of preprogrammed
literal selection strategies, many of which are only
experimental. Clause evaluation heuristics can be constructed on
the fly by combining various parameterized primitive evaluation
functions, or can be selected from a set of predefined
heuristics. Supported term orderings are several parameterized
instances of Knuth-Bendix-Ordering (KBO) and Lexicographic Path
Ordering (LPO).
FOOL & FOX
· Web site: rhaug.de/fool/
· FTP site: ftp.informatik.uni-oldenburg.de/pub/fool/
FOOL stands for the Fuzzy Organizer OLdenburg. It is a result
from a project at the University of Oldenburg. FOOL is a
graphical user interface to develop fuzzy rulebases. FOOL will
help you to invent and maintain a database that specifies the
behavior of a fuzzy-controller or something like that.
FOX is a small but powerful fuzzy engine which reads this
database, reads some input values and calculates the new control
value.
FreeHAL
· Web site:
FreeHAL is a self-learning conversation simulator which uses
semantic nets to organize its knowledge.
FreeHAL uses a semantic network, pattern matching, stemmers,
part of speech databases, part of speech taggers, and Hidden
Markov Models. Both the online and the download version support
TTS.
FUF and SURGE
· Web site:
FUF is an extended implementation of the formalism of functional
unification grammars (FUGs) introduced by Martin Kay specialized
to the task of natural language generation. It adds the
following features to the base formalism:
· Types and inheritance.
· Extended control facilities (goal freezing, intelligent
backtracking).
· Modular syntax.
These extensions allow the development of large grammars which
can be processed efficiently and can be maintained and under-
stood more easily. SURGE is a large syntactic realization gram-
mar of English written in FUF. SURGE is developed to serve as a
black box syntactic generation component in a larger generation
system that encapsulates a rich knowledge of English syntax.
SURGE can also be used as a platform for exploration of grammar
writing with a generation perspective.
GATE
· Web site:
· Alt site:
GATE (General Architecture for Text Engineering) is an
architecture, framework and development environment for
developing, evaluating and embedding Human Language Technology.
GATE is made up of three elements:
· An architecture describing how language processing systems
are made up of components.
· A framework (or class library, or SDK), written in Java and
tested on Linux, Windoze and Solaris.
· A graphical development environment built on the framework.
The Grammar Workbench
· Web site: ??? www.cs.kun.nl/agfl/
Seems to be obsolete??? Its gone from the site, though its
parent project is still ongoing.
The Grammar Workbench, or GWB for short, is an environment for
the comfortable development of Affix Grammars in the AGFL-
formalism. Its purposes are:
· to allow the user to input, inspect and modify a grammar;
· to perform consistency checks on the grammar;
· to compute grammar properties;
· to generate example sentences;
· to assist in performing grammar transformations.
GSM Suite
· Alt site: www.ibiblio.org/pub/Linux/apps/graphics/draw/
The GSM Suite is a set of programs for using Finite State
Machines in a graphical fashion. The suite consists of programs
that edit, compile, and print state machines. Included in the
suite is an editor program, gsmedit, a compiler, gsm2cc, that
produces a C++ implementation of a state machine, a PostScript
generator, gsm2ps, and two other minor programs. GSM is licensed
under the GNU Public License and so is free for your use under
the terms of that license.
Isabelle
· Web site: isabelle.in.tum.de
Isabelle is a popular generic theorem prover developed at
Cambridge University and TU Munich. Existing logics like
Isabelle/HOL provide a theorem proving environment ready to use
for sizable applications. Isabelle may also serve as framework
for rapid prototyping of deductive systems. It comes with a
large library including Isabelle/HOL (classical higher-order
logic), Isabelle/HOLCF (Scott's Logic for Computable Functions
with HOL), Isabelle/FOL (classical and intuitionistic first-
order logic), and Isabelle/ZF (Zermelo-Fraenkel set theory on
top of FOL).
Jess, the Java Expert System Shell
· Web site: herzberg.ca.sandia.gov/jess/
Jess is a clone of the popular CLIPS expert system shell written
entirely in Java. With Jess, you can conveniently give your
applets the ability to 'reason'. Jess is compatible with all
versions of Java starting with version 1.0.2. Jess implements
the following constructs from CLIPS: defrules, deffunctions,
defglobals, deffacts, and deftemplates.
learn
· Web site: www.ibiblio.org/pub/Linux/apps/cai/
Learn is a vocable learning program with memory model.
LISA
· Web site: lisa.sourceforge.net
LISA (Lisp-based Intelligent Software Agents) is a production-
rule system heavily influenced by JESS (Java Expert System
Shell). It has at its core a reasoning engine based on the Rete
pattern matching algorithm. LISA also provides the ability to
reason over ordinary CLOS objects.
Livingstone2
· Web site:
Livingstone2 (L2) is a reusable artificial intelligence (AI)
software system designed to assist spacecraft, life support
systems, chemical plants or other complex systems in operating
robustly with minimal human supervision, even in the face of
hardware failures or unexpected events.
NICOLE
· Web site:
NICOLE (Nearly Intelligent Computer Operated Language Examiner)
is a theory or experiment that if a computer is given enough
combinations of how words, phrases and sentences are related to
one another, it could talk back to you. It is an attempt to
simulate a conversation by learning how words are related to
other words. A human communicates with NICOLE via the keyboard
and NICOLE responds back with its own sentences which are
automatically generated, based on what NICOLE has stored in it's
database. Each new sentence that has been typed in, and NICOLE
doesn't know about, is included into NICOLE's database, thus
extending the knowledge base of NICOLE.
Otter: An Automated Deduction System
· Web site:
Our current automated deduction system Otter is designed to
prove theorems stated in first-order logic with equality.
Otter's inference rules are based on resolution and
paramodulation, and it includes facilities for term rewriting,
term orderings, Knuth-Bendix completion, weighting, and
strategies for directing and restricting searches for proofs.
Otter can also be used as a symbolic calculator and has an
embedded equational programming system.
PVS
· Web site: pvs.csl.sri.com/
PVS is a verification system: that is, a specification language
integrated with support tools and a theorem prover. It is
intended to capture the state-of-the-art in mechanized formal
methods and to be sufficiently rugged that it can be used for
significant applications. PVS is a research prototype: it
evolves and improves as we develop or apply new capabilities,
and as the stress of real use exposes new requirements.
SNePS
· Web site: www.cse.buffalo.edu/sneps/
The long-term goal of The SNePS Research Group is the design and
construction of a natural-language-using computerized cognitive
agent, and carrying out the research in artificial intelligence,
computational linguistics, and cognitive science necessary for
that endeavor. The three-part focus of the group is on knowledge
representation, reasoning, and natural-language understanding
and generation. The group is widely known for its development of
the SNePS knowledge representation/reasoning system, and Cassie,
its computerized cognitive agent.
Soar
· Web site: sitemaker.umich.edu/soar
Soar has been developed to be a general cognitive architecture.
We intend ultimately to enable the Soar architecture to:
· work on the full range of tasks expected of an intelligent
agent, from highly routine to extremely difficult, open-ended
problems
· represent and use appropriate forms of knowledge, such as
procedural, declarative, episodic, and possibly iconic
· employ the full range of problem solving methods
· interact with the outside world and
· learn about all aspects of the tasks and its performance on
them.
In other words, our intention is for Soar to support all the
capabilities required of a general intelligent agent.
TCM
· Web site:
TCM (Toolkit for Conceptual Modeling) is our suite of graphical
editors. TCM contains graphical editors for Entity-Relationship
diagrams, Class-Relationship diagrams, Data and Event Flow
diagrams, State Transition diagrams, Jackson Process Structure
diagrams and System Network diagrams, Function Refinement trees
and various table editors, such as a Function-Entity table
editor and a Function Decomposition table editor. TCM is easy
to use and performs numerous consistency checks, some of them
immediately, some of them upon request.
Yale
· Web site: yale.sf.net/
· Alt Web site: rapid-i.com/
YALE (Yet Another Learning Environment) is an environment for
machine learning experiments. Experiments can be made up of a
large number of arbitrarily nestable operators and their setup
is described by XML files which can easily created with a
graphical user interface. Applications of YALE cover both
research and real-world learning tasks.
WEKA
· Web site: lucy.cs.waikato.ac.nz/~ml/
WEKA (Waikato Environment for Knowledge Analysis) is an state-
of-the-art facility for applying machine learning techniques to
practical problems. It is a comprehensive software "workbench"
that allows people to analyse real-world data. It integrates
different machine learning tools within a common framework and a
uniform user interface. It is designed to support a "simplicity-
first" methodology, which allows users to experiment
interactively with simple machine learning tools before looking
for more complex solutions.
3. Connectionism
Connectionism is a technical term for a group of related techniques.
These techniques include areas such as Artificial Neural Networks,
Semantic Networks and a few other similar ideas. My present focus is
on neural networks (though I am looking for resources on the other
techniques). Neural networks are programs designed to simulate the
workings of the brain. They consist of a network of small
mathematical-based nodes, which work together to form patterns of
information. They have tremendous potential and currently seem to be
having a great deal of success with image processing and robot
control.
3.1. Connectionist class/code libraries
These are libraries of code or classes for use in programming within
the Connectionist field. They are not meant as stand alone
applications, but rather as tools for building your own applications.
Software for Flexible Bayesian Modeling
· Web site: www.cs.utoronto.ca/~radford/fbm.software.html
This software implements flexible Bayesian models for regression
and classification applications that are based on multilayer
perceptron neural networks or on Gaussian processes. The
implementation uses Markov chain Monte Carlo methods. Software
modules that support Markov chain sampling are included in the
distribution, and may be useful in other applications.
BELIEF
· Web site: www.cs.cmu.edu/afs/cs/project/ai-
repository/ai/areas/reasonng/probabl/belief/
BELIEF is a Common Lisp implementation of the Dempster and Kong
fusion and propagation algorithm for Graphical Belief Function
Models and the Lauritzen and Spiegelhalter algorithm for
Graphical Probabilistic Models. It includes code for
manipulating graphical belief models such as Bayes Nets and
Relevance Diagrams (a subset of Influence Diagrams) using both
belief functions and probabilities as basic representations of
uncertainty. It uses the Shenoy and Shafer version of the
algorithm, so one of its unique features is that it supports
both probability distributions and belief functions. It also
has limited support for second order models (probability
distributions on parameters).
bpnn.py
· Web site: http://arctrix.com/nas/python/bpnn.py
A simple back-propogation ANN in Python.
brain
· Web site:
Brain is a lightweight JavaScript library for neural networks.
It implements the standard feedforward multi-layer perceptron
neural network trained with backpropagation.
brain-simulator
· Web site:
Brian is a clock-driven simulator for spiking neural networks.
It is designed with an emphasis on flexibility and
extensibility, for rapid development and refinement of neural
models. Neuron models are specified by sets of user-specified
differential equations, threshold conditions and reset
conditions (given as strings). The focus is primarily on
networks of single compartment neuron models (e.g. leaky
integrate-and-fire or Hodgkin-Huxley type neurons). It is
written in Python and is easy to learn and use, highly flexible
and easily extensible. Features include:
· a system for specifying quantities with physical dimensions
· exact numerical integration for linear differential equations
· Euler, Runge-Kutta and exponential Euler integration for
nonlinear differential equations
· synaptic connections with delays
· short-term and long-term plasticity (spike-timing dependent
plasticity)
· a library of standard model components, including integrate-
and-fire equations, synapses and ionic currents
· a toolbox for automatically fitting spiking neuron models to
electrophysiological recordings
CNNs
· Web site:
· Newer Version:
· Old Page:
Cellular Neural Networks (CNN) is a massive parallel computing
paradigm defined in discrete N-dimensional spaces. A visualizing
CNN Simulator which allows to track the way in which the state
trajectories evolve, thus gaining an insight into the behavior
of CNN dynamics. This may be useful for forming an idea how a
CNN 'works', especially for those people who are not experienced
in CNN theory.
CONICAL
· Web site: strout.net/conical/
CONICAL is a C++ class library for building simulations common
in computational neuroscience. Currently its focus is on
compartmental modeling, with capabilities similar to GENESIS and
NEURON. A model neuron is built out of compartments, usually
with a cylindrical shape. When small enough, these open-ended
cylinders can approximate nearly any geometry. Future classes
may support reaction-diffusion kinetics and more. A key feature
of CONICAL is its cross-platform compatibility; it has been
fully co-developed and tested under Unix, DOS, and Mac OS.
Encog
· Web site:
Encog is an advanced neural network and machine learning
framework. Encog contains classes to create a wide variety of
networks, as well as support classes to normalize and process
data for these neural networks. Encog trains using multithreaded
resilient propagation. Encog can also make use of a GPU to
further speed processing time. A GUI based workbench is also
provided to help model and train neural networks. Encog has been
in active development since 2008. Encog is available for Java,
.Net and Silverlight.
FANN
· Web site:
Fast Artificial Neural Network Library is a free open source
neural network library, which implements multilayer artificial
neural networks in C with support for both fully connected and
sparsely connected networks. Cross-platform execution in both
fixed and floating point are supported. It includes a framework
for easy handling of training data sets. It is easy to use,
versatile, well documented, and fast. PHP, C++, .NET, Ada,
Python, Delphi, Octave, Ruby, Prolog Pure Data and Mathematica
bindings are available. A reference manual accompanies the
library with examples and recommendations on how to use the
library. A graphical user interface is also available for the
library.
ffnet
· Web site:
ffnet is a fast and easy-to-use feed-forward neural network
training solution for python. Many nice features are
implemented: arbitrary network connectivity, automatic data
normalization, very efficient training tools, network export to
fortran code.
Joone
· Web site:
Joone is a neural net framework to create, train and test neural
nets. The aim is to create a distributed environment based on
JavaSpaces both for enthusiastic and professional users, based
on the newest Java technologies. Joone is composed of a central
engine that is the fulcrum of all applications that already
exist or will be developed. The neural engine is modular,
scalable, multitasking and tensile. Everyone can write new
modules to implement new algorithms or new architectures
starting from the simple components distributed with the core
engine. The main idea is to create the basis to promote a
zillion of AI applications that revolve around the core
framework.
Matrix Class
· FTP site: ftp.cs.ucla.edu/pub/
A simple, fast, efficient C++ Matrix class designed for
scientists and engineers. The Matrix class is well suited for
applications with complex math algorithms. As an demonstration
of the Matrix class, it was used to implement the backward error
propagation algorithm for a multi-layer feed-forward artificial
neural network.
NEAT
· Web site:
· Web site:
Many neuroevolution methods evolve fixed-topology networks. Some
methods evolve topologies in addition to weights, but these
usually have a bound on the complexity of networks that can be
evolved and begin evolution with random topologies. This project
is based on a neuroevolution method called NeuroEvolution of
Augmenting Topologies (NEAT) that can evolve networks of
unbounded complexity from a minimal starting point.
The research as a broader goal of showing that evolving
topologies is necessary to achieve 3 major goals of
neuroevolution: (1) Continual coevolution: Successful
competitive coevolution can use the evolution of topologies to
continuously elaborate strategies. (2) Evolution of Adaptive
Networks: The evolution of topologies allows neuroevolution to
evolve adaptive networks with plastic synapses by designating
which connections should be adaptive and in what ways. (3)
Combining Expert Networks: Separate expert neural networks can
be fused through the evolution of connecting neurons between
them.
NeuroLab
· Web site:
NeuroLab - a library of basic neural networks algorithms with
flexible network configurations and learning algorithms for
Python. To simplify the using of the library, interface is
similar to the package of Neural Network Toolbox (NNT) of MATLAB
(c). The library is based on the package numpy
(http://numpy.scipy.org), some learning algorithms are used
scipy.optimize (http://scipy.org).
NuPIC
· Web site: http://www.numenta.org/
· Web site: https://github.com/numenta/nupic
The Numenta Platform for Intelligent Computing (NuPIC) is built
around Cortical learning algorithms, a new variation of HTM
networks (Hierarchical Temporal Memory). Based on Jeff Hawkins
idea as laid out in his On Intelligence book. NuPIC consists of
the Numenta Tools Framework and the Numenta Runtime Engine.
Pulcinella
· Web site: iridia.ulb.ac.be/pulcinella/
Pulcinella is written in CommonLisp, and appears as a library of
Lisp functions for creating, modifying and evaluating valuation
systems. Alternatively, the user can choose to interact with
Pulcinella via a graphical interface (only available in Allegro
CL). Pulcinella provides primitives to build and evaluate
uncertainty models according to several uncertainty calculi,
including probability theory, possibility theory, and Dempster-
Shafer's theory of belief functions; and the possibility theory
by Zadeh, Dubois and Prade's. A User's Manual is available on
request.
scnANNlib
· Web site: www.sentinelchicken.org/projects/scnANNlib/
SCN Artificial Neural Network Library provides a programmer with
a simple object-oriented API for constructing ANNs. Currently,
the library supports non-recursive networks with an arbitrary
number of layers, each with an arbitrary number of nodes.
Facilities exist for training with momentum, and there are plans
to gracefully extend the functionality of the library in later
releases.
UTCS Neural Nets Research Group Software
· Web site:
A bit different from the other entries, this is a reference to a
collection of software rather than one application. It was all
developed by the UTCS Neural Net Research Group. Here's
a summary of some of the packages available:
· Natural Language Processing
· MIR - Tcl/Tk-based rapid prototyping for sentence
processing
· SPEC - Parsing complex sentences
· DISCERN - Processing script-based stories, including
· PROC - Parsing, generation, question answering
· HFM - Episodic memory organization
· DISLEX - Lexical processing
· DISCERN - The full integrated model
· FGREPNET - Learning distributed representations
· Self-Organization
· LISSOM - Maps with self-organizing lateral connections.
· FM - Generic Self-Organizing Maps
· Neuroevolution
· Enforced Sub-Populations (ESP) for sequential decision
tasks
· Non-Markov Double Pole Balancing
· Symbiotic, Adaptive NeuroEvolution (SANE; predecessor of
ESP)
· JavaSANE - Java software package for applying SANE to
new tasks
· SANE-C - C version, predecessor of JavaSANE
· Pole Balancing - Neuron-level SANE on the Pole
Balancing task
· NeuroEvolution of Augmenting Topologies (NEAT) software
for evolving neural networks using structure
Various (C++) Neural Networks
· Web site: www.dontveter.com/nnsoft/nnsoft.html
Example neural net codes from the book, The Pattern
Recognition Basics of AI. These are simple example codes of
these various neural nets. They work well as a good starting
point for simple experimentation and for learning what the code
is like behind the simulators. The types of networks available
on this site are: (implemented in C++)
· The Backprop Package
· The Nearest Neighbor Algorithms
· The Interactive Activation Algorithm
· The Hopfield and Boltzman machine Algorithms
· The Linear Pattern Classifier
· ART I
· Bi-Directional Associative Memory
· The Feedforward Counter-Propagation Network
3.2. Connectionist software kits/applications
These are various applications, software kits, etc. meant for research
in the field of Connectionism. Their ease of use will vary, as they
were designed to meet some particular research interest more than as
an easy to use commercial package.
Aspirin - MIGRAINES
(am6.tar.Z on ftp site)
· FTP site: sunsite.unc.edu/pub/academic/computer-
science/neural-networks/programs/Aspirin/
The software that we are releasing now is for creating, and
evaluating, feed-forward networks such as those used with the
backpropagation learning algorithm. The software is aimed both
at the expert programmer/neural network researcher who may wish
to tailor significant portions of the system to his/her precise
needs, as well as at casual users who will wish to use the
system with an absolute minimum of effort.
DDLab
· Web site:
DDLab is an interactive graphics program for research into the
dynamics of finite binary networks, relevant to the study of
complexity, emergent phenomena, neural networks, and aspects of
theoretical biology such as gene regulatory networks. A network
can be set up with any architecture between regular CA (1d or
2d) and "random Boolean networks" (networks with arbitrary
connections and heterogeneous rules). The network may also have
heterogeneous neighborhood sizes.
Emergent
· Web site:
Note: this is a descendant of ``''
emergent is a comprehensive, full-featured neural network
simulator that allows for the creation and analysis of complex,
sophisticated models of the brain in the world. With an emphasis
on qualitative analysis and teaching, it also supports the
workflow of professional neural network researchers. The GUI
environment allows users to quickly construct basic networks,
modify the input/output patterns, automatically generate the
basic programs required to train and test the network, and
easily utilize several data processing and network analysis
tools. In addition to the basic preset network train and test
programs, the high level drag-and-drop programming interface,
built on top of a scripting language that has full introspective
access to all aspects of networks and the software itself,
allows one to write programs that seamlessly weave together the
training of a network and evolution of its environment without
ever typing out a line of code. Networks and all of their state
variables are visually inspected in 3D, allowing for a quick
"visual regression" of network dynamics and robot behavior.
GENESIS
· Web site:
GENESIS (short for GEneral NEural SImulation System) is a
general purpose simulation platform which was developed to
support the simulation of neural systems ranging from complex
models of single neurons to simulations of large networks made
up of more abstract neuronal components. GENESIS has provided
the basis for laboratory courses in neural simulation at both
Caltech and the Marine Biological Laboratory in Woods Hole, MA,
as well as several other institutions. Most current GENESIS
applications involve realistic simulations of biological neural
systems. Although the software can also model more abstract
networks, other simulators are more suitable for backpropagation
and similar connectionist modeling.
JavaBayes
· Web site:
The JavaBayes system is a set of tools, containing a graphical
editor, a core inference engine and a parser. JavaBayes can
produce:
· the marginal distribution for any variable in a network.
· the expectations for univariate functions (for example,
expected value for variables).
· configurations with maximum a posteriori probability.
· configurations with maximum a posteriori expectation for
univariate functions.
Jbpe
· Web site: cs.felk.cvut.cz/~koutnij/studium/jbpe.html
Jbpe is a back-propagation neural network editor/simulator.
Features
· Standart back-propagation networks creation.
· Saving network as a text file, which can be edited and loaded
back.
· Saving/loading binary file
· Learning from a text file (with structure specified below),
number of learning periods / desired network energy can be
specified as a criterion.
· Network recall
Nengo
· Web site:
Nengo (Nengo Neural Simulator) is a graphical and scripting
based software package for simulating large-scale neural
systems.
To use it, you define groups of neurons in terms of what they
represent, and then form connections between neural groups in
terms of what computation should be performed on those
representations. Nengo then uses the Neural Engineering
Framework (NEF) to solve for the appropriate synaptic connection
weights to achieve this desired computation. Nengo also supports
various kinds of learning. Nengo helps make detailed spiking
neuron models that implement complex high-level cognitive
algorithms.
Among other things, Nengo has been used to implement motor
control, visual attention, serial recall, action selection,
working memory, attractor networks, inductive reasoning, path
integration, and planning with problem solving.
The Spaun neural simulator is implemented in Nengo and its
source is available as well.
Neural Network Generator
· FTP site: ftp.idsia.ch/pub/rafal
The Neural Network Generator is a genetic algorithm for the
topological optimization of feedforward neural networks. It
implements the Semantic Changing Genetic Algorithm and the Unit-
Cluster Model. The Semantic Changing Genetic Algorithm is an
extended genetic algorithm that allows fast dynamic adaptation
of the genetic coding through population analysis. The Unit-
Cluster Model is an approach to the construction of modular
feedforward networks with a ''backbone'' structure.
NOTE: To compile this on Linux requires one change in the
Makefiles. You will need to change '-ltermlib' to '-ltermcap'.
NEURON
· Web site: www.neuron.yale.edu/
NEURON is an extensible nerve modeling and simulation program.
It allows you to create complex nerve models by connecting
multiple one-dimensional sections together to form arbitrary
cell morphologies, and allows you to insert multiple membrane
properties into these sections (including channels, synapses,
ionic concentrations, and counters). The interface was designed
to present the neural modeler with a intuitive environment and
hide the details of the numerical methods used in the
simulation.
Neuroph
· Web site:
Neuroph is lightweight Java neural network framework to develop
common neural network architectures. It contains well designed,
open source Java library with small number of basic classes
which correspond to basic NN concepts. Also has nice GUI neural
network editor to quickly create Java neural network components.
PDP++
· Web site:
· FTP mirror (US):
NOTE: Renamed to ``''
As the field of Connectionist modeling has grown, so has the
need for a comprehensive simulation environment for the
development and testing of Connectionist models. Our goal in
developing PDP++ has been to integrate several powerful software
development and user interface tools into a general purpose
simulation environment that is both user friendly and user
extensible. The simulator is built in the C++ programming
language, and incorporates a state of the art script interpreter
with the full expressive power of C++. The graphical user
interface is built with the Interviews toolkit, and allows full
access to the data structures and processing modules out of
which the simulator is built. We have constructed several useful
graphical modules for easy interaction with the structure and
the contents of neural networks, and we've made it possible to
change and adapt many things. At the programming level, we have
set things up in such a way as to make user extensions as
painless as possible. The programmer creates new C++ objects,
which might be new kinds of units or new kinds of processes;
once compiled and linked into the simulator, these new objects
can then be accessed and used like any other.
RNS
· Web site: www.cs.cmu.edu/afs/cs/project/ai-
repository/ai/areas/neural/systems/rns/
RNS (Recurrent Network Simulator) is a simulator for recurrent
neural networks. Regular neural networks are also supported. The
program uses a derivative of the back-propagation algorithm, but
also includes other (not that well tested) algorithms.
Features include
· freely choosable connections, no restrictions besides memory
or CPU constraints
· delayed links for recurrent networks
· fixed values or thresholds can be specified for weights
· (recurrent) back-propagation, Hebb, differential Hebb,
simulated annealing and more
· patterns can be specified with bits, floats, characters,
numbers, and random bit patterns with Hamming distances can
be chosen for you
· user definable error functions
· output results can be used without modification as input
Semantic Networks in Python
· Web site: strout.net/info/coding/python/ai/index.html
The semnet.py module defines several simple classes for building
and using semantic networks. A semantic network is a way of
representing knowledge, and it enables the program to do simple
reasoning with very little effort on the part of the programmer.
The following classes are defined:
· Entity: This class represents a noun; it is something which
can be related to other things, and about which you can store
facts.
· Relation: A Relation is a type of relationship which may
exist between two entities. One special relation, "IS_A", is
predefined because it has special meaning (a sort of logical
inheritance).
· Fact: A Fact is an assertion that a relationship exists
between two entities.
With these three object types, you can very quickly define
knowledge about a set of objects, and query them for logical
conclusions.
SNNS
· Web site:
Stuttgart Neural Net Simulator (version 4.1). An awesome neural
net simulator. Better than any commercial simulator I've seen.
The simulator kernel is written in C (it's fast!). It supports
over 20 different network architectures, has 2D and 3D X-based
graphical representations, the 2D GUI has an integrated network
editor, and can generate a separate NN program in C. SNNS is
very powerful, though a bit difficult to learn at first. To help
with this it comes with example networks and tutorials for many
of the architectures. ENZO, a supplementary system allows you
to evolve your networks with genetic algorithms.
TOOLDIAG
· Web site: www.inf.ufes.br/~thomas/home/soft.html
· Alt site: http://www.cs.cmu.edu/afs/cs/project/ai-
repository/ai/areas/neural/systems/tooldiag/0.html
TOOLDIAG is a collection of methods for statistical pattern
recognition. The main area of application is classification. The
application area is limited to multidimensional continuous
features, without any missing values. No symbolic features
(attributes) are allowed. The program in implemented in the 'C'
programming language and was tested in several computing
environments.
XNBC
· Web site: www.b3e.jussieu.fr/xnbc/
XNBC v8 is a simulation tool for the neuroscientists interested
in simulating biological neural networks using a user friendly
tool.
XNBC is a software package for simulating biological neural
networks.
Four neuron models are available, three phenomenologic models
(xnbc, leaky integrator and conditional burster) and an ion-
conductance based model. Inputs to the simulated neurons can be
provided by experimental data stored in files, allowing the
creation of `hybrid'' networks.
4. Evolutionary Computing
Evolutionary computing is actually a broad term for a vast array of
programming techniques, including genetic algorithms, complex adaptive
systems, evolutionary programming, etc. The main thrust of all these
techniques is the idea of evolution. The idea that a program can be
written that will evolve toward a certain goal. This goal can be
anything from solving some engineering problem to winning a game.
4.1. EC class/code libraries
These are libraries of code or classes for use in programming within
the evolutionary computation field. They are not meant as stand alone
applications, but rather as tools for building your own applications.
ANNEvolve
· Web site: annevolve.sourceforge.net
A collection of programs using evolved artificial neural
networks to solve a series of problems. The long term goal of
the project is to advance our level of understanding about
simulated evolution as a means to configure and optimize
Artificial Neural Nets (ANNs). The medium term goal is to apply
our methods to a series of interesting problems such as sail
boat piloting and playing the game NIM.
A secondary goal is educational in nature. We attempt to write
our software with ample explanation, not just for the user, but
for the engineer/programmer/scientist who wants to understand
the innermost detail. All of the source code is freely available
to anyone to use without restriction.
All of the ANNEvolve software is implemented in C and Python.
EAP
· Web site:
EAP has been built using the Python and UNIX programming
philosophies in order to provide a transparent, simple and
coherent environment for implementing your favourite
evolutionary algorithms. EAP is very easy to use even for those
who do not know much about the Python programming language. EAP
uses the object oriented paradigm that is provided by Python in
order to make development simple and beautiful. It also
contains a 15 illustrative and diversified examples, to help
newcomers to ramp up very quickly in using this environment.
It includes Genetic Algorithms using any imaginable
representation, Genetic Programming with strongly and loosely
typed trees in addition to automatically defined functions,
Evolution Strategies (including Covariance Matrix Adaptation),
multiobjective optimization techniques (NSGA-II and SPEA2), easy
parallelization of algorithms and much more like milestones,
genealogy, etc.
daga
· Web site: garage.cps.msu.edu/software/daga3.2/
daga is an experimental release of a 2-level genetic algorithm
compatible with the GALOPPS GA software. It is a meta-GA which
dynamically evolves a population of GAs to solve a problem
presented to the lower-level GAs. When multiple GAs (with
different operators, parameter settings, etc.) are
simultaneously applied to the same problem, the ones showing
better performance have a higher probability of surviving and
"breeding" to the next macro-generation (i.e., spawning new
"daughter"-GAs with characteristics inherited from the parental
GA or GAs. In this way, we try to encourage good problem-
solving strategies to spread to the whole population of GAs.
DEAP
· Web site:
DEAP is intended to be an easy to use distributed evolutionary
algorithm library in the Python language. Its two main
components are modular and can be used separately. The first
module is a Distributed Task Manager (DTM), which is intended to
run on cluster of computers using TCP or a MPI connection. The
second part is the Evolutionary Algorithms in Python (EAP)
framework. EAP is the evolutionary core of DEAP, it provides
data structures, methods and tools to design any kind of
evolutionary algorithm. It works in perfect harmony with DTM,
allowing easy parallelization of any demanding evolutionary
task.
dgpf
· Web site: dgpf.sourceforge.net
The Distributed Genetic Programming Framework (DGPF) is a
scalable Java environment for heuristic, simulation-based search
algorithms of any kind and Genetic Algorithms in special. We use
the broad foundation of a search algorithms layer to provide a
Genetic Programming system which is able to create Turing-
complete code.
It's under the LGPL license. It allows you to use heuristic
searches like GA and randomized Hill Climbing for any problem
space you like to with just minimal programming effort. Also,
you may distribute all these searches over a network, using the
client/server, the peer-to-peer, or even a client/server+ peer-
to-peer hybrid distribution scheme. You also can construct
heterogeneous search algorithms where GA cooperates with Hill
Climbing without changing any code.
Ease
· Web site: www.sprave.com/Ease/Ease.html
Ease - Evolutionary Algorithms Scripting Evironment - is an
extension to the Tcl scripting language, providing commands to
create, modify, and evaluate populations of individuals
represented by real number vectors and/or bit strings.
EO
· Web site: eodev.sourceforge.net
EO is a templates-based, ANSI-C++ compliant evolutionary
computation library. It contains classes for any kind of
evolutionary computation (specially genetic algorithms) you
might come up to. It is component-based, so that if you don't
find the class you need in it, it is very easy to subclass
existing abstract or concrete class.
Evocosm
· Web site:
Evocosm is a set of classes that abstract the fundamental
components of an evolutionary algorithm. See the site for
details, but here is a simple list of the provided classes;
Random Numbers, OpenMP, Floating-Point Chromosomes, Roulettte
Wheels, Organisms, Fitness Landscapes, Evocosms, Fitness
Scaling, Migration, Selecting Survivors, Reproduction, Mutation
Operations.
evolver
· Web site:
A Python library for creating and working with genetic
algorithms and genetic (evolved) programs. Allows one to do
Python-based evolutionary programming; string-based as well as
source code tree node optimization/search solution discovery.
FORTRAN GA
· Web site: cuaerospace.com/carroll/ga.html
This program is a FORTRAN version of a genetic algorithm driver.
This code initializes a random sample of individuals with
different parameters to be optimized using the genetic algorithm
approach, i.e. evolution via survival of the fittest. The
selection scheme used is tournament selection with a shuffling
technique for choosing random pairs for mating. The routine
includes binary coding for the individuals, jump mutation, creep
mutation, and the option for single-point or uniform crossover.
Niching (sharing) and an option for the number of children per
pair of parents has been added. More recently, an option for
the use of a micro-GA has been added.
FREVO
· Web site:
FREVO is an open-source framework developed in Java to help
engineers and scientists in evolutionary design or optimization
tasks. The major feature of FREVO is the componentwise
decomposition and separation of the key building blocks for each
optimization tasks. We identify these as the problem definition,
solution representation and the optimization method. This
structure enables the components to be designed separately
allowing the user to easily swap and evaluate different
configurations and methods or to connect an external simulation
tool.
GAlib: Matthew's Genetic Algorithms Library
· Web Site:
· Download:
· Register GAlib at:
GAlib contains a set of C++ genetic algorithm objects. The
library includes tools for using genetic algorithms to do
optimization in any C++ program using any representation and
genetic operators. The documentation includes an extensive
overview of how to implement a genetic algorithm as well as
examples illustrating customizations to the GAlib classes.
GALOPPS
· Web site:
· FTP site:
GALOPPS is a flexible, generic GA, in 'C'. It was based upon
Goldberg's Simple Genetic Algorithm (SGA) architecture, in order
to make it easier for users to learn to use and extend.
GALOPPS extends the SGA capabilities several fold:
· (optional) A new Graphical User Interface, based on TCL/TK,
for Unix users, allowing easy running of GALOPPS 3.2 (single
or multiple subpopulations) on one or more processors. GUI
writes/reads "standard" GALOPPS input and master files, and
displays graphical output (during or after run) of user-
selected variables.
· 5 selection methods: roulette wheel, stochastic remainder
sampling, tournament selection, stochastic universal
sampling, linear-ranking-then-SUS.
· Random or superuniform initialization of "ordinary" (non-
permutation) binary or non-binary chromosomes; random
initialization of permutation-based chromosomes; or user-
supplied initialization of arbitrary types of chromosomes.
· Binary or non-binary alphabetic fields on value-based
chromosomes, including different user-definable field sizes.
· 3 crossovers for value-based representations: 1-pt, 2-pt, and
uniform, all of which operate at field boundaries if a non-
binary alphabet is used.
· 4 crossovers for order-based reps: PMX, order-based, uniform
order-based, and cycle.
· 4 mutations: fast bitwise, multiple-field, swap and random
sublist scramble.
· Fitness scaling: linear scaling, Boltzmann scaling, sigma
truncation, window scaling, ranking.
· Plus a whole lot more....
GAS
· Web site:
GAS means "Genetic Algorithms Stuff". GAS is freeware.
Purpose of GAS is to explore and exploit artificial evolutions.
Primary implementation language of GAS is Python. The GAS
software package is meant to be a Python framework for applying
genetic algorithms. It contains an example application where it
is tried to breed Python program strings. This special problem
falls into the category of Genetic Programming (GP), and/or
Automatic Programming. Nevertheless, GAS tries to be useful for
other applications of Genetic Algorithms as well.
GAUL
· Web site:
· SF project site:
The Genetic Algorithm Utility Library (GAUL) is a flexible
programming library designed to aid development of applications
that require the use of genetic algorithms. Features include:
· Darwinian, Lamarckian or Baldwinian evolutionary schemes.
· Both steady-state and generation-based GAs included.
· The island model of evolution is available.
· Chromosome datatype agnostic. A selection of common
chromosome types are built-in.
· Allows user-defined crossover, mutation, selection,
adaptation and replacement operators.
· Support for multiple, simultaneously evolved,populations.
· Choice of high-level or low-level interface functions.
· Additional, non-GA, optimisation algorithms are built-in for
local optimisation or comparative purposes.
· Trivial to extend using external code via the built-in code
hooks.
· May be driven by, or extended by, powerful S-Lang scripts.
· Support for multiprocessor calculations.
· Written using highly portable C code.
GECO
· FTP site:
GECO (Genetic Evolution through Combination of Objects), an
extendible object-oriented tool-box for constructing genetic
algorithms (in Lisp). It provides a set of extensible classes
and methods designed for generality. Some simple examples are
also provided to illustrate the intended use.
GenePool
· Web site:
GenePool is a framework for writing evolutionary optimization
algorithms in OCaml. This library is not a complete solution but
rather is a generic skeleton which takes care of the plumbing
and nuisances of optimization. You provide GenePool with
functions that give meaning to fitness and reproduction and
after a specified number of generation, GenePool returns an
array of the best "genomes" it evolved.
Genetic
· Web site: ???
· You can get it from the debian repository:
This is a package for genetic algorythms and AI in Python.
Genetic can typically solve ANY problem that consists to
minimize a function.
It also includes several demos / examples, like the TSP
(traveling saleman problem).
GPdata
· FTP site:
GPdata-3.0.tar.gz (C++) contains a version of Andy Singleton's
GP-Quick version 2.1 which has been extensively altered to
support:
· Indexed memory operation (cf. teller)
· multi tree programs
· Adfs
· parameter changes without recompilation
· populations partitioned into demes
· (A version of) pareto fitness
This ftp site also contains a small C++ program (ntrees.cc) to
calculate the number of different there are of a given length
and given function and terminal set.
gpjpp Genetic Programming in Java
· The code can be found in the tarball linked from "GP and
Othello Java code and READMEs" on this page:
gpjpp is a Java package I wrote for doing research in genetic
programming. It is a port of the gpc++ kernel written by Adam
Fraser and Thomas Weinbrenner. Included in the package are four
of Koza's standard examples: the artificial ant, the hopping
lawnmower, symbolic regression, and the boolean multiplexer.
Here is a partial list of its features:
· graphic output of expression trees
· efficient diversity checking
· Koza's greedy over-selection option for large populations
· extensible GPRun class that encapsulates most details of a
genetic programming test
· more robust and efficient streaming code, with automatic
checkpoint and restart built into the GPRun class
· an explicit complexity limit that can be set on each GP
· additional configuration variables to allow more testing
without recompilation
· support for automatically defined functions (ADFs)
· tournament and fitness proportionate selection
· demetic grouping
· optional steady state population
· subtree crossover
· swap and shrink mutation
jaga
· Web site: cs.felk.cvut.cz/~koutnij/studium/jaga/jaga.html
Simple genetic algorithm package written in Java.
JGAP
· Web site:
JGAP (pronounced "jay-gap") is a Genetic Algorithms and Genetic
Programming component provided as a Java framework. It provides
basic genetic mechanisms that can be easily used to apply
evolutionary principles to problem solutions.
JGAP was designed to be very easy to use "out of the box", while
also designed to be highly modular so that more adventurous
users can easily plug-in custom genetic operators and other sub-
components.
lil-gp
· Web site:
patched lil-gp *
· Web site:
lil-gp is a generic 'C' genetic programming tool. It was written
with a number of goals in mind: speed, ease of use and support
for a number of options including:
· Generic 'C' program that runs on UNIX workstations
· Support for multiple population experiments, using arbitrary
and user settable topologies for exchange, for a single
processor (i.e., you can do multiple population gp
experiments on your PC).
· lil-gp manipulates trees of function pointers which are
allocated in single, large memory blocks for speed and to
avoid swapping.
* The patched lil-gp kernel is strongly-typed, with modifica-
tions on multithreading, coevolution, and other tweaks and fea-
tures.
Lithos
· Web site: www.esatclear.ie/~rwallace/lithos.html
Lithos is a stack based evolutionary computation system. Unlike
most EC systems, its representation language is computationally
complete, while also being faster and more compact than the S-
expressions used in genetic programming. The version presented
here applies the system to the game of Go, but can be changed to
other problems by simply plugging in a different evaluation
function. ANSI C source code is provided.
Open BEAGLE
· Web site: beagle.gel.ulaval.ca
Open BEAGLE is a C++ evolutionary computation framework. It
provides a high-level software environment to do any kind of
evolutionary computation, with support for tree-based genetic
programming, bit string and real-valued genetic algorithms,
evolution strategy, co-evolution, and evolutionary multi-
objective optimization.
PGAPack
Parallel Genetic Algorithm Library
· FTP site:
PGAPack is a general-purpose, data-structure-neutral, parallel
genetic algorithm library. It is intended to provide most
capabilities desired in a genetic algorithm library, in an
integrated, seamless, and portable manner. Key features are in
PGAPack V1.0 include:
· Callable from Fortran or C.
· Runs on uniprocessors, parallel computers, and workstation
networks.
· Binary-, integer-, real-, and character-valued native data
types.
· Full extensibility to support custom operators and new data
types.
· Easy-to-use interface for novice and application users.
· Multiple levels of access for expert users.
· Parameterized population replacement.
· Multiple crossover, mutation, and selection operators.
· Easy integration of hill-climbing heuristics.
· Extensive debugging facilities.
· Large set of example problems.
· Detailed users guide.
PIPE
· FTP site: ftp.idsia.ch/pub/rafal
Probabilistic Incremental Program Evolution (PIPE) is a novel
technique for automatic program synthesis. The software is
written in C. It ...
· is easy to install (comes with an automatic installation
tool).
· is easy to use: setting up PIPE_V1.0 for different problems
requires a minimal amount of programming. User-written,
application-independent program parts can easily be reused.
· is efficient: PIPE_V1.0 has been tuned to speed up
performance.
· is portable: comes with source code (optimized for SunOS
5.5.1).
· is extensively documented(!) and contains three example
applications.
· supports statistical evaluations: it facilitates running
multiple experiments and collecting results in output files.
· includes testing tool for testing generalization of evolved
programs.
· supports floating point and integer arithmetic.
· has extensive output features.
· For lil-gp users: Problems set up for lil-gp 1.0 can be
easily ported to PIPE_v1.0. The testing tool can also be used
to process programs evolved by lil-gp 1.0.
plop
· Web site:
A Common Lisp framework for experimenting with meta-optimizing
semantic evolutionary search (MOSES) and related approaches to
learning with probability distributions over program spaces
based on:
· reduction to normal form
· representation-building
· deme (sub-population) management
· probabilistic model-building (aka estimation-of-distribution
algorithms)
Pyevolve
· Web site:
Pyevolve was developed to be a complete genetic algorithm
framework, the main objectives of Pyevolve are:
· written in pure python, to maximize the cross-platform issue;
· easy to use API, the API must be easy for end-user;
· see the evolution, the user can and must see and interact
with the evolution statistics, graphs and etc;
· extensible, the API must be extensible, the user can create
new representations, genetic operators like crossover,
mutation and etc;
· fast, the design must be optimized for performance;
· common features, the framework must implement the most common
features: selectors like roulette wheel, tournament, ranking,
uniform. Scaling schemes like linear scaling, etc;
· default parameters, we must have default operators, settings,
etc in all options;
· open-source, the source is for everyone, not for only one.
pygp
· Web site:
Your basic genetic algorithm package for python.
tinygp
· Web site:
Small genetic programming library in C++ and ActionScript 3
(Javascript engine embedded in Flash) with flash demos.
This GP library uses the standard Koza expression tree program
representation. It uses the 'grow' algorithm to generate random
expressions. Mutation is performed by selecting a random
subexpression in an expression tree, and replacing it with a new
random expression (which satisfies the maximum tree depth
constraint). Crossover (mating) between two expressions is
performed by selecting a random subexpression in each parent,
then exchanging them (although it only makes on child, not two).
In addition to the core code for creating, mutating, mating and
evaluating expressions, the library includes a steady-state
genetic algorithm with tournament selection, and a worst-out,
elitist replacement policy (i.e. when a new child is created, it
replaces the worse member of the population, only if it is
better).
txevolver
· Web site:
A Twisted-based set of libraries for performing calculations of
genetic algorithms as well as genetic programs in an
asynchronous, distributed manner.
4.2. EC software kits/applications
These are various applications, software kits, etc. meant for research
in the field of evolutionary computing. Their ease of use will vary,
as they were designed to meet some particular research interest more
than as an easy to use commercial package.
ADATE
· Web site: www-ia.hiof.no/~rolando/adate_intro.html
ADATE (Automatic Design of Algorithms Through Evolution) is a
system for automatic programming i.e., inductive inference of
algorithms, which may be the best way to develop artificial and
general intelligence.
The ADATE system can automatically generate non-trivial and
novel algorithms. Algorithms are generated through large scale
combinatorial search that employs sophisticated program
transformations and heuristics. The ADATE system is particularly
good at synthesizing symbolic, functional programs and has
several unique qualities.
esep & xesep
· Web site(esep): www.iit.edu/~elrad/esep.html
· Web site(xesep): www.iit.edu/~elrad/xesep.html
This is a new scheduler, called Evolution Scheduler, based on
Genetic Algorithms and Evolutionary Programming. It lives with
original Linux priority scheduler.This means you don't have to
reboot to change the scheduling policy. You may simply use the
manager program esep to switch between them at any time, and
esep itself is an all-in-one for scheduling status, commands,
and administration. We didn't intend to remove the original
priority scheduler; instead, at least, esep provides you with
another choice to use a more intelligent scheduler, which
carries out natural competition in an easy and effective way.
Xesep is a graphical user interface to the esep (Evolution
Scheduling and Evolving Processes). It's intended to show users
how to start, play, and feel the Evolution Scheduling and
Evolving Processes, including sub-programs to display system
status, evolving process status, queue status, and evolution
scheduling status periodically in as small as one mini-second.
Corewars
· SourceForge site:
Corewars is a game which simulates a virtual machine with a
number of programs. Each program tries to crash the others. The
program that lasts the longest time wins. A number of sample
programs are provided and new programs can be written by the
player. Screenshots are available at the Corewars homepage.
JCASim
· Web site:
JCASim is a general-purpose system for simulating cellular
automata in Java. It includes a stand-alone application and an
applet for web presentations. The cellular automata can be
specified in Java, in CDL, or using an interactive dialogue. The
system supports many different lattice geometries (1-D, 2-D
square, hexagonal, triangular, 3-D), neighborhoods, boundary
conditions, and can display the cells using colors, text, or
icons.
JGProg
· Web site: jgprog.sourceforge.net
Genetic Programming (JGProg) is an open-source Java
implementation of a strongly-typed Genetic Programming
experimentation platform. Two example "worlds" are provided, in
which a population evolves and solves the problem.
5. Alife & Complex Systems
Alife takes yet another approach to exploring the mysteries of
intelligence. It has many aspects similar to EC and Connectionism,
but takes these ideas and gives them a meta-level twist. Alife
emphasizes the development of intelligence through emergent behavior
of complex adaptive systems. Alife stresses the social or group based
aspects of intelligence. It seeks to understand life and survival. By
studying the behaviors of groups of 'beings' Alife seeks to discover
the way intelligence or higher order activity emerges from seemingly
simple individuals. Cellular Automata and Conway's Game of Life are
probably the most commonly known applications of this field. Complex
Systems (abbreviated CS) are very similar to alife in the way the are
approached, just more general in definition (ie. alife is a type of
complex system). Usually complex system software takes the form of a
simulator.
5.1. Alife & CS class/code libraries
These are libraries of code or classes for use in programming within
the artificial life field. They are not meant as stand alone
applications, but rather as tools for building your own applications.
AgentFarms
· Web site:
Agent Farms is a system for modelling and simulation of complex,
multi-agent based systems. The system can be used for:
· Creating models of multi-agent systems
· Interactive and distributed simulation
· Observation and visualisation of the simulation
· Population modification and migration
Biome
· Web site:
Biome is a C++ library aimed at individual-based/agent-based
simulations. It is somewhat similar to Swarm, EcoSim or Simex
but tries to be more efficient and less monolithic without
compromising object- oriented design. Currently there is an
event based scheduling system, a C++ified Mersenne-Twister RNG,
several general analysis classes, some Qt-based GUI classes, a
very basic persistence/database framework (used also for
parameter storage) and many other small useful things.
CAGE
· Web site:
CAGE is a fairy generic and complete cellular automaton
simulation engine in Python. It supports both 1D and 2D
automata, a variety of prepackaged rules, and the concept of
"agents" which can move about independently on the map for
implementing agent behavior.
Cellular
· Web site:
The Cellular automata programming system consists of a compiler
for the Cellang cellular automata programming language, along
with the corresponding documentation, viewer, and various tools.
Postscript versions of the tutorial and language reference
manual are available for those wanting more detailed
information. The most important distinguishing features of
Cellang, include support for:
· any number of dimensions;
· compile time specification of each dimensions size; cell
neighborhoods of any size (though bounded at compile time)
and shape;
· positional and time dependent neighborhoods;
· associating multiple values (fields), including arrays, with
each cell;
· associating a potentially unbounded number of mobile agents [
Agents are mobile entities based on a mechanism of the same
name in the Creatures system, developed by Ian Stephenson
(ian@ohm.york.ac.uk).] with each cell; and
· local interactions only, since it is impossible to construct
automata that contain any global control or references to
global variables.
Integrating Modelling Toolkit
· Web site: sourceforge.net/projects/imt/
The Integrating Modelling Toolkit (IMT) is a generic,
comprehensive, and extensible set of abstractions allowing
definition and use of interoperable model components. Modellers
create an IMT "world" made of IMT "agents" that will perform
each a particular phase of a modelling task. The core set of
IMT agents can describe generic, modular, distributed model
components, either native to the IMT or integrating existing
simulation toolkits, specialized for tasks that range from
simple calculation of functions in an interpreted language to
spatially explicit simulation, model optimization, GIS analysis,
visualization and advanced statistical analysis. IMT agents are
designed to easily "glue" together in higher-level simulations
integrating different modelling paradigms and toolkits. The IMT
can be easily extended by users and developers through a
convenient plug-in mechanism
MAML
· Web site:
The current version of MAML is basically an extension to
Objective-C (using the Swarm libraries). It consists of a couple
of remaining must be filled with pure swarm-code. A MAML-to-
Swarm (named xmc) compiler is also being developed which
compiles the source code into a swarm application.
MASON
· Web site:
MASON Stands for Multi-Agent Simulator Of Neighborhoods... or
Networks... or something...
MASON is a fast discrete-event multi-agent simulation library
core in Java, designed to be the foundation for large custom-
purpose Java simulations, and also to provide more than enough
functionality for many lightweight simulation needs. MASON
contains both a model library and an optional suite of
visualization tools in 2D and 3D.
SimWorld
· Web site: http://www.nd.edu/ airolab/simworld/
· New Web site?: http://hrilab.tufts.edu/
SimWorld is a free artificial life simulation (based on the free
``'' toolkit developed by Aaron Sloman), which provides
functionality for running different interacting agents and
objects in a simulated, continuous environment. The agents are
controlled by rules written in the powerful rule interpreter.
New behaviors of agents can be defined without any programming
knowledge.
Swarm
· Web site: www.swarm.org/wiki/Swarm_main_page
· FTP site: ftp.swarm.org/pub/swarm/
The swarm Alife simulation kit. Swarm is a simulation
environment which facilitates development and experimentation
with simulations involving a large number of agents behaving and
interacting within a dynamic environment. It consists of a
collection of classes and libraries written in Objective-C and
allows great flexibility in creating simulations and analyzing
their results. It comes with three demos and good
documentation.
5.2. Alife & CS software kits, applications, etc.
These are various applications, software kits, etc. meant for research
in the field of artificial life. Their ease of use will vary, as they
were designed to meet some particular research interest more than as
an easy to use commercial package.
Achilles
· Web site:
Achilles is an evolution simulation based on Larry Yaeger's
PolyWorld. It uses Hebbian neural networks, and an extremely
simplified physical model that allows virtual organisms to
interact freely in a simulated environment.
Avida
· Web site:
· Web site:
The computer program Avida is an auto-adaptive genetic system
designed primarily for use as a platform in Artificial Life
research. The Avida system is based on concepts similar to those
employed by the Tierra program, that is to say it is a
population of self-reproducing strings with a Turing-complete
genetic basis subjected to Poisson-random mutations. The
population adapts to the combination of an intrinsic fitness
landscape (self-reproduction) and an externally imposed
(extrinsic) fitness function provided by the researcher. By
studying this system, one can examine evolutionary adaptation,
general traits of living systems (such as self-organization),
and other issues pertaining to theoretical or evolutionary
biology and dynamic systems.
Biogenesis
· Web site:
Biogenesis is an artificial life program that simulates the
processes involved in the evolution of organisms. It shows
colored segment based organisms that mutate and evolve in a 2D
environment. Biogenesis is based on Primordial Life.
breve
· Web site: www.spiderland.org/breve/
Breve is a free software package which makes it easy to build 3D
simulations of decentralized systems and artificial life. Users
define the behaviors of agents in a 3D world and observe how
they interact. Breve includes physical simulation and collision
detection so you can simulate realistic creatures, and an OpenGL
display engine so you can visualize your simulated worlds.
BugsX
· FTP site:
Display and evolve biomorphs. It is a program which draws the
biomorphs based on parametric plots of Fourier sine and cosine
series and let's you play with them using the genetic algorithm.
Creatures Docking Station
· Linux info:
This is a free version of the Creatures3 ALife game. It has
fewer species and a small 'space-station' world, but can connect
to other worlds over the internet and (if you have the windows
version of the game) can connect to your C3 world. The game
itself revolves around breeding and training the alife
creatures, 'Norns'. Its strikes a pretty nice balance between
fun and science, or so I'm told.
(summary written by Steve Grand included below)
The eponymous creatures in this computer game are called Norns,
and the world's population of them at one stage hovered around
the five million mark, making them more common than many
familiar natural species. Each norn is composed of thousands of
tiny simulated biological components, such as neurons,
biochemicals, chemoreceptors, chemoemitters and genes. The
norns' genes dictate how these components are assembled to make
complete organisms, and the creatures' behaviour then emerges
from the interactions of those parts, rather than being
explicitly 'programmed in'.
The norns are capable of learning about their environment,
either by being shown things by their owners or through learning
by their own mistakes. They must learn for themselves how to
find food and how to interact with the many objects in their
environment. They can interact with their owners, using simple
language, and also with each other. They can form relationships
and produce offspring, which inherit their neural and
biochemical structure from their parents and are capable of
open-ended evolution over time. They can fall prey to a variety
of diseases (as well as genetic defects) and can be treated with
appropriate medicines.
Critterding
· Web site:
· Web site (telepathic-critterdrug):
Critterding is a "Petri dish" universe in 3D that demonstrates
evolving artificial life. Critters start out with completely
random brains and bodies, but will automatically start evolving
into something with much better survival skills. The lifeforms
are placed in an artificial environment where there neural net
'brains' can evolve.
Telepathic-critterdrug is a fork of Critterding introducing a
communications medium (called a retina) and psychoactive
substances that effect this retina.
dblife & dblifelib
· FTP site: ibiblio.org/pub/Linux/science/ai/life/
dblife: Sources for a fancy Game of Life program for X11 (and
curses). It is not meant to be incredibly fast (use xlife for
that:-). But it IS meant to allow the easy editing and viewing
of Life objects and has some powerful features. The related
dblifelib package is a library of Life objects to use with the
program.
dblifelib: This is a library of interesting Life objects,
including oscillators, spaceships, puffers, and other weird
things. The related dblife package contains a Life program
which can read the objects in the Library.
Drone
· Web site: www.cscs.umich.edu/Software/Drone/
Drone is a tool for automatically running batch jobs of a
simulation program. It allows sweeps over arbitrary sets of
parameters, as well as multiple runs for each parameter set,
with a separate random seed for each run. The runs may be
executed either on a single computer or over the Internet on a
set of remote hosts. Drone is written in Expect (an extension to
the Tcl scripting language) and runs under Unix. It was
originally designed for use with the Swarm agent-based
simulation framework, but Drone can be used with any simulation
program that reads parameters from the command line or from an
input file.
EcoLab
· Web site:
EcoLab is a system that implements an abstract ecology model. It
is written as a set of Tcl/Tk commands so that the model
parameters can easily be changed on the fly by means of editing
a script. The model itself is written in C++.
Framsticks
· Web site:
Framsticks is a three-dimensional life simulation project. Both
mechanical structures ("bodies") and control systems ("brains")
of creatures are modeled. It is possible to design various kinds
of experiments, including simple optimization (by evolutionary
algorithms), co-evolution, open-ended and spontaneous evolution,
distinct gene pools and populations, diverse genotype/phenotype
mappings, and species/ecosystems modeling.
Fluidiom
· Web site:
Evolutionary based alife platform. Has a game like feel which
makes it fun while still allowing for some interesting
experimentation.
It takes a minimalist approach to spatial structure to make a
body, adds articulation in the form of muscles, and then lets
evolution take over to see if these bodies can learn to walk,
run, crawl, or slither from one place to the other.
Game Of Life (GOL)
· FTP site: ibiblio.org/pub/Linux/science/ai/life/
GOL is a simulator for conway's game of life (a simple cellular
automata), and other simple rule sets. The emphasis here is on
speed and scale, in other words you can setup large and fast
simulations.
gant
· Web site: gant.sourceforge.net
This project is an ANSI C++ implementation of the Generalized
Langton Ant, which lives on a torus.
gLife
· Web site: glife.sourceforge.net
· SourceForge site: sourceforge.net/projects/glife/
This program is similiar to "Conway's Game of Life" but yet it
is very different. It takes "Conway's Game of Life" and applies
it to a society (human society). This means there is a very
different (and much larger) rule set than in the original game.
Things need to be taken into account such as the terrain, age,
sex, culture, movement, etc
Golly
· Web site: golly.sourceforge.net
An open source, cross-platform implementation of John Conway's
Game of Life with an unbounded universe and capable of running
patterns faster and further than ever before. It has many
features such as;
· Reads RLE, Life 1.05/1.06, and macrocell formats.
· Supports Wolfram's 1D rules.
· Can paste in patterns from the clipboard.
· Scriptable via Python.
Langton's Ant
· Web site:
Langton's Ant is an example of a finite-state cellular automata.
The ant (or ants) start out on a grid. Each cell is either black
or white. If the ant is on a black square, it turns right 90
and moves forward one unit. If the ant is on a white square, it
turns left 90 and moves forward one unit. And when the ant
leaves a square, it inverts the color. The neat thing about
Langton's Ant is that no matter what pattern field you start it
out on, it eventually builds a "road," which is a series of 117
steps that repeat indefinitely, each time leaving the ant
displaced one pixel vertically and horizontally.
LEE
· Web site: www.informatics.indiana.edu/fil/LEE/
LEE (Latent Energy Environments) is both an Alife model and a
software tool to be used for simulations within the framework of
that model. We hope that LEE will help understand a broad range
of issues in theoretical, behavioral, and evolutionary biology.
The LEE tool described here consists of approximately 7,000
lines of C code and runs in both Unix and Macintosh platforms.
MATREM
· Web site:
Matrem is a computer program that simulates life. It belongs to
the emerging science of "artificial life", which studies
evolution and complex systems in general by simulation. Matrem
is also a game, where players compete to create the fittest life
form. Their efforts are the driving force behind the program.
Nanopond
· Web site:
Nanopond is a "corewar style" evolvable instruction set based
virtual machine written in C. It is similar in design to Tierra
and Avida but considerably smaller and simpler. Version 1.0
weights in at only 840 lines of C code, the majority of which
are comments! It is very highly optimized and supports simple
color visualization using the SDL (Simple Directmedia Layer)
library.
More information can be learned by reading the Nanopond source
code, which is very well commented.
Noble Ape
· Web site: www.nobleape.com/sim/
The Noble Ape Simulation has been developed (as the Nervana
Simulation) since 1996. The aim of the simulation is to create a
detailed biological environment and a cognitive simulation. The
Simulation is intended as a palette for open source development.
It provides a stable means of simulating large scale
environments and cognitive processes.
It features a number of autonomous simulation components
including a landscape simulation, biological simulation, weather
simulation, sentient creature (Noble Ape) simulation and a
simple intelligent-agent scripting language (ApeScript).
The code is currently (2007) used by Apple Inc and by INTEL for
processor optimization and performance tuning. Apple includes it
with their CHUD performance and debugging developer tool set.
Polyworld
· Web site:
PolyWorld is a computational ecology that I developed to explore
issues in Artificial Life. Simulated organisms reproduce
sexually, fight and kill and eat each other, eat the food that
grows throughout the world, and either develop successful
strategies for survival or die. An organism's entire behavioral
suite (move, turn, attack, eat, mate, light) is controlled by
its neural network "brain". Each brain's architecture--it's
neural wiring diagram--is determined from its genetic code, in
terms of number, size, and composition of neural clusters
(excitatory and inhibitory neurons) and the types of connections
between those clusters (connection density and topological
mapping). Synaptic efficacy is modulated via Hebbian learning,
so, in principle, the organisms have the ability to learn during
the course of their lifetimes. The organisms perceive their
world through a sense of vision, provided by a computer graphic
rendering of the world from each organism's point of view. The
organisms' physiologies are also encoded genetically, so both
brain and body, and thus all components of behavior, evolve over
multiple generations. A variety of "species", with varying
individual and group survival strategies have emerged in various
simulations, displaying such complex ethological behaviors as
swarming/flocking, foraging, and attack avoidance.
POSES++
· Web site:
The POSES++ software tool supports the development and
simulation of models. Regarding the simulation technique models
are suitable reproductions of real or planned systems for their
simulative investigation.
In all industrial sectors or branches POSES++ can model and
simulate any arbitrary system which is based on a discrete and
discontinuous behaviour. Also continuous systems can mostly be
handled like discrete systems e.g., by quantity discretion and
batch processing.
Tierra
· Web site:
Tierra's written in the C programming language. This source code
creates a virtual computer and its operating system, whose
architecture has been designed in such a way that the executable
machine codes are evolve-able. This means that the machine code
can be mutated (by flipping bits at random) or recombined (by
swapping segments of code between algorithms), and the resulting
code remains functional enough of the time for natural (or
presumably artificial) selection to be able to improve the code
over time.
Trend
· Web site: www.complex.iastate.edu/download/Trend/
Trend is a general purpose cellular automata simulation
environment with an integrated high level language compiler, a
beautiful graphical user interface, and a fast, three stage
cached simulation engine. This is the simulation system that was
used to discover the first emergent self-replicating cellular
automata rule set, and the first problem solving self-
replication loop.
Since its simulator is very flexible with regard to cellular
space sizes, cell structures, neighborhood structures and
cellular automata rules, Trend can simulate almost all one or
two-dimensional cellular automata models. It also has a smart
backtracking feature which simplifies rule set development a lot
by allowing users to go back to a previous stage of simulation!
With other advanced features, Trend is probably the most easy to
use 2-dimensional cellular automata simulator.
Also available is jTrend. A Java version of Trend.
XLIFE
· FTP site:
This program will evolve patterns for John Horton Conway's game
of Life. It will also handle general cellular automata with the
orthogonal neighborhood and up to 8 states (it's possible to
recompile for more states, but very expensive in memory).
Transition rules and sample patterns are provided for the
8-state automaton of E. F. Codd, the Wireworld automaton, and a
whole class of `Prisoner's Dilemma' games.
Xtoys
· Web site:
xtoys contains a set of cellular automata simulators for X
windows. Programs included are:
· xising --- a two dimensional Ising model simulator,
· xpotts --- the two dimensional Potts model,
· xautomalab --- a totalistic cellular automaton simulator,
· xsand --- for the Bak, Tang, Wiesenfeld sandpile model,
· xwaves --- demonstrates three different wave equations,
· schrodinger --- play with the Scrodinger equation in an
adjustable potential.
6. Agents & Robotics
Software brains for computers that do stuff. Everythin from fun and
games to data mining to physical robotics. This is a great hobbiest
area of AI with many areas of interest to pursue. I've broken it down
loosely into 2 sections. AI for purely software based agents and that
for embodied agents (even if only simulated).
6.1. Software Agents
Also known as intelligent software agents or just agents, this area of
AI research deals with simple applications of small programs that aid
the user in his/her work. They can be mobile (able to stop their
execution on one machine and resume it on another) or static (live in
one machine). They are usually specific to the task (and therefore
fairly simple) and meant to help the user much as an assistant would.
2APL
· Web site:
2APL (pronounced as double-a-p-l) is an agent-oriented
programming language that facilitates the implementation of
multi-agent systems. At the multi-agent level, it provides
programming constructs to specify a multi-agent system in terms
of a set of individual agents, a set of environments in which
they can perform actions, and the access relation between the
individual agents and the environments. At the individual agent
level, it provides programming constructs to implement cognitive
agents based on the BDI architecture.
3APL
· Web site:
· Wikipedia entry:
· Mobile version:
3APL is a programming language for implementing cognitive
agents. It provides programming constructs for implementing
agents' beliefs, goals, basic capabilities (such as belief
updates, external actions, or communication actions) and a set
of practical reasoning rules through which agents' goals can be
updated or revised. The 3APL programs are executed on the 3APL
platform. Each 3APL program is executed by means of an
interpreter that deliberates on the cognitive attitudes of that
agent.
Agent
· FTP site:
The Agent is a prototype for an Information Agent system. It is
both platform and language independent, as it stores contained
information in simple packed strings. It can be packed and
shipped across any network with any format, as it freezes itself
in its current state.
agentTool
· Web site:
agentTool is a Eclipse-based graphical development environment
to help users analyze, design, and implement multiagent systems.
It is designed to support the highly tailorable Organization-
based Multiagent Systems Engineering (O-MaSE) methodology.
agentTool currently supports all O-MaSE models including the
Goal Model, Agent Model, Role Model, Organization Model,
Protocol Model, Plan Model, Capability-Action Model, Domain
Model, and Policy Model.
Aglets Workbench
· Web site:
An aglet is a Java object that can move from one host on the
Internet to another. That is, an aglet that executes on one
host can suddenly halt execution, dispatch to a remote host, and
resume execution there. When the aglet moves, it takes along its
program code as well as its state (data). A built-in security
mechanism makes it safe for a computer to host untrusted aglets.
The Java Aglet API (J-AAPI) is a proposed public standard for
interfacing aglets and their environment. J-AAPI contains
methods for initializing an aglet, message handling, and
dispatching, retracting, deactivating/activating, cloning, and
disposing of the aglet. J-AAPI is simple, flexible, and stable.
Application developers can write platform-independent aglets and
expect them to run on any host that supports J-AAPI.
AJA
· Web site:
AJA (Adaptable Java Agents) consists of two programming
languages. HADL (Higher Agent Definition Language) is a higher-
level language used for the description of the main agent parts.
Java+ is the lower-level language used for the programming of
the agent parts defined in HADL. It is actually Java enriched
with the constructs for accessing higher-level agent parts
defined in HADL.
A.L.I.C.E.
· Web site:
· Other AIML implementations:
The ALICE software implements AIML (Artificial Intelligence
Markup Language), a non-standard evolving markup language for
creating chat robots. The primary design feature of AIML is
minimalism. Compared with other chat robot languages, AIML is
perhaps the simplest. The pattern matching language is very
simple, for example permitting only one wild-card ('*') match
character per pattern. AIML is an XML language, implying that it
obeys certain grammatical meta-rules. The choice of XML syntax
permits integration with other tools such as XML editors.
Another motivation for XML is its familiar look and feel,
especially to people with HTML experience.
APRIL
· Web site:
APRIL is a symbolic programming language that is designed for
writing mobile, distributed and agent-based systems especially
in an Internet environment. It has advanced features such as a
macro sub-language, asynchronous message sending and receiving,
code mobility, pattern matching, higher-order functions and
strong typing. The language is compiled to byte-code which is
then interpreted by the APRIL runtime-engine. APRIL now
requires the InterAgent Communications Model (ICM) to be
installed before it can be installed. [Ed. ICM can be found at
the same web site]
Ara
· Web site:
Ara is a platform for the portable and secure execution of
mobile agents in heterogeneous networks. Mobile agents in this
sense are programs with the ability to change their host machine
during execution while preserving their internal state. This
enables them to handle interactions locally which otherwise had
to be performed remotely. Ara's specific aim in comparison to
similar platforms is to provide full mobile agent functionality
while retaining as much as possible of established programming
models and languages.
Bee-gent
· Web site:
· FAQ:
Bee-gent is a new type of development framework in that it is a
100% pure agent system. As opposed to other systems which make
only some use of agents, Bee-gent completely "Agentifies" the
communication that takes place between software applications.
The applications become agents, and all messages are carried by
agents. Thus, Bee-gent allows developers to build flexible open
distributed systems that make optimal use of existing
applications.
Bond
· Web site:
Bond is a Java based distributed object system and agent
framework. It implements a message based middleware and
associated services like directory, persistence, monitoring and
security. Bond allows to easily build multi agent, distributed
applications. Another application of Bond will be a Virtual
Laboratory supporting data annotation and metacomputing.
Cougaar
· Web site:
Cougaar is java-based architecture for the construction of
large-scale distributed agent-based applications. It is the
product of a multi-year DARPA research project into large scale
agent systems and includes not only the core architecture but
also a variety of demonstration, visualization and management
components to simplify the development of complex, distributed
applications. [Yet another java based agent system -- ed.]
D'Agent (was AGENT TCL)
· Web site:
A transportable agent is a program that can migrate from machine
to machine in a heterogeneous network. The program chooses when
and where to migrate. It can suspend its execution at an
arbitrary point, transport to another machine and resume
execution on the new machine. For example, an agent carrying a
mail message migrates first to a router and then to the
recipient's mailbox. The agent can perform arbitrarily complex
processing at each machine in order to ensure that the message
reaches the intended recipient.
DIET Agents
· Web site:
DIET Agents is a lightweight, scalable and robust multi-agent
platform in Java. It is especially suitable for rapidly
developing P2P prototype applications and/or adaptive,
distributed applications that use bottom-up, nature-inspired
techniques.
FishMarket
· Web site:
FM - The FishMarket project conducted at the Artificial
Intelligence Research Institute (IIIA-CSIC) attempts to
contribute in that direction by developing FM, an agent-mediated
electronic auction house which has been evolved into a test-bed
for electronic auction markets. The framework, conceived and
implemented as an extension of FM96.5 (a Java-based version of
the Fishmarket auction house), allows to define trading
scenarios based on fish market auctions (Dutch auctions). FM
provides the framework wherein agent designers can perform
controlled experimentation in such a way that a multitude of
experimental market scenarios--that we regard as tournament
scenarios due to the competitive nature of the domain-- of
varying degrees of realism and complexity can be specified,
activated, and recorded; and trading (buyer and seller)
heterogeneous (human and software) agents compared, tuned and
evaluated.
Grasshopper
· Web site:
Another Java agent system. Full featured and actively developed.
Commercial, but free. Historically targeted at embedded systems.
Hive
· Web site:
Hive is a Java software platform for creating distributed
applications. Using Hive, programmers can easily create systems
that connect and use data from all over the Internet. At its
heart, Hive is an environment for distributed agents to live,
communicating and moving to fulfill applications. We are trying
to make the Internet alive.
ICM
· SourceForge site:
The Inter-Agent Communication Model (ICM) is a communication
mechanism that can be used for sending messages between agents
in an asynchronous fashion. Its intended application area is as
a transportation mechanism for agent communication languages
(ACLs), such as KQML and FIPA's ACL.
Jacomma
· Web site:
· SourceForge site:
Jacomma is an agent development platform/framework for
developing distributed, mobile, and reactive information agents
with heterogeneous communication capabilities, in Java and
JPython.
Jacomma provides a development framework and an execution
environment, which sits on top of the Inter-Agent Communication
Model infrastructure. The ICM defines a communication protocol,
a store and forward messaging architecture, and low level
communication infrastructure for message exchange.
Communication is truly asynchronous, based on TCP sockets.
ICM has an entry in this howto, or you can find it via a link
off the site.
Jade
· Web site:
JADE (Java Agent DEvelopment Framework) is a software framework
fully implemented in Java language. It simplifies the
implementation of multi-agent systems through a middle-ware that
claims to comply with the FIPA specifications and through a set
of tools that supports the debugging and deployment phase. The
agent platform can be distributed across machines (which not
even need to share the same OS) and the configuration can be
controlled via a remote GUI. The configuration can be even
changed at run-time by moving agents from one machine to another
one, as and when required.
JAM Agent
· Web site:
JAM supports both top-down, goal-based reasoning and bottom-up
data-driven reasoning. JAM selects goals and plans based on
maximal priority if metalevel reasoning is not used, or user-
developed metalevel reasoning plans if they exist. JAM's
conceptualization of goals and goal achievement is more
classically defined (UMPRS is more behavioral performance-based
than truly goal-based) and makes the distinction between plans
to achieve goals and plans that simply encode behaviors. Goal-
types implemented include achievement (attain a specified world
state), maintenance (re-attain a specified world state), and
performance. Execution of multiple simultaneous goals are
supported, with suspension and resumption capabilities for each
goal (i.e., intention) thread. JAM plans have explicit
precondition and runtime attributes that restrict their
applicability, a postcondition attribute, and a plan attributes
section for specifying plan/domain-specific plan features.
Available plan constructs include: sequencing, iteration,
subgoaling, atomic (i.e., non-interruptable) plan segments, n-
branch deterministic and non-deterministic conditional
execution, parallel execution of multiple plan segments, goal-
based or world state-based synchronization, an explicit failure-
handling section, and Java primitive function definition through
building it into JAM as well as the invocation of predefined
(i.e., legacy) class members via Java's reflection capabilities
without having to build it into JAM.
JASA
· Web site:
· Alt Web site:
JASA is a high performance auction simulator suitable for
conducting experiments in agent-based computational economics.
It implements various auction mechanisms, trading strategies and
experiments described in the computational economics literature,
and as the software matures we hope that it will become a
repository for reference implementations of commonly used
mechanisms, strategies and learning algorithms.
Jason
· Web site:
A Java-based interpreter for an extended version of AgentSpeak.
Unlike other BDI (Beliefs-Desires-Intentions) agent tools, Jason
implements the operational semantics of AgentSpeak, a BDI logic
programming language extensively discussed in the literature. It
is available as Open Source under GNU LGPL.
JATLite
· Web site:
JATLite is providing a set of java packages which makes easy to
build multi-agent systems using Java. JATLite provides only
light-weight, small set of packages so that the developers can
handle all the packages with little efforts. For flexibility
JATLite provides four different layers from abstract to Router
implementation. A user can access any layer we are providing.
Each layer has a different set of assumptions. The user can
choose an appropriate layer according to the assumptions on the
layer and user's application. The introduction page contains
JATLite features and the set of assumptions for each layer.
JATLiteBeans
· Web site:
· Improved, easier-to-use interface to JATLite features
including KQML message parsing, receiving, and sending.
· Extensible architecture for message handling and agent
"thread of control" management
· Useful functions for parsing of simple KQML message content
· JATLiteBean supports automatic advertising of agent
capabilities to facilitator agents
· Automatic, optional, handling of the "forward" performative
· Generic configuration file parser
· KQML syntax checker
Java(tm) Agent Template
· Web site: www-cdr.stanford.edu/ABE/JavaAgent.html
The JAT provides a fully functional template, written entirely
in the Java language, for constructing software agents which
communicate peer-to-peer with a community of other agents
distributed over the Internet. Although portions of the code
which define each agent are portable, JAT agents are not
migratory but rather have a static existence on a single host.
This behavior is in contrast to many other "agent" technologies.
(However, using the Java RMI, JAT agents could dynamically
migrate to a foreign host via an agent resident on that host).
Currently, all agent messages use KQML as a top-level protocol
or message wrapper. The JAT includes functionality for
dynamically exchanging "Resources", which can include Java
classes (e.g. new languages and interpreters, remote services,
etc.), data files and information inlined into the KQML
messages.
lyntin
· Web site: lyntin.sourceforge.net/
Lyntin is an extensible Mud client and framework for the
creation of autonomous agents, or bots, as well as mudding in
general. Lyntin is centered around Python, a dynamic, object-
oriented, and fun programming language and based on TinTin++ a
lovely mud client.
Mole
· Web site: mole.informatik.uni-stuttgart.de/
Mole is an agent system supporting mobile agents programmed in
Java. Mole's agents consist of a cluster of objects, which have
no references to the outside, and as a whole work on tasks given
by the user or another agent. They have the ability to roam a
network of "locations" autonomously. These "locations" are an
abstraction of real, existing nodes in the underlying network.
They can use location-specific resources by communicating with
dedicated agents representing these services. Agents are able to
use services provided by other agents and to provide services as
well.
Narval
· Web site: www.logilab.org
Narval is the acronym of "Network Assistant Reasoning with a
Validating Agent Language". It is a personal network assistant
based on artificial intelligence and agent technologies. It
executes recipes (sequences of actions) to perform tasks. It is
easy to specify a new action using XML and to implement it using
Python. Recipes can be built and debugged using a graphical
interface.
NeL
· Web site: www.nevrax.org
NeL is actually a game development library (for massive multi-
player games), but I'm including it here as it (will) include a
fairly sizable AI library. Here's a blurb from the whitepaper:
The purpose of the AI library is to provide a pragmatic approach
to creating a distributed agents platform. Its focus is agents;
individual entities that communicate regardless of location,
using an action-reaction model.
OAA
· Web site: www.ai.sri.com/~oaa/
The Open Agent Architecture is a framework in which a community
of software agents running on distributed machines can work
together on tasks assigned by human or non-human participants in
the community. Distributed cooperation and high-level
communication are two ideas central to the foundation of the
OAA.
It defines an interagent communication language and supports
multiple platforms and programming languages.
OpenCV
· Web site:
OpenCV (Open Source Computer Vision) is a library of programming
functions mainly aimed at real time computer vision.
Example applications of the OpenCV library are Human-Computer
Interaction (HCI); Object Identification, Segmentation and
Recognition; Face Recognition; Gesture Recognition; Motion
Tracking, Ego Motion, Motion Understanding; Structure From
Motion (SFM); and Mobile Robotics.
OpenCog
· Web site:
The Open Cognition Framework (OpenCog) is software for the
collaborative development of safe and beneficial Artificial
General Intelligence.
OpenCog provides research scientists and software developers
with a common platform to build and share artificial
intelligence programs. The framework includes:
· a flexible and highly optimized in-memory database for
knowledge representation,
· a plug-in architecture for cognitive algorithms and a
cognitive process scheduler,
· a built-in LISP-like programming language, and
· other components to support artificial intelligence research
and development.
OpenSteer
· Web site: opensteer.sourceforge.net
OpenSteer is a C++ library to help build steering behaviors for
autonomous characters in games and animation. OpenSteer provides
an app which displays predefined demos of steering behaviors.
You can prototype, visualize and debug your own as a plug-in.
ORTS
· Web site:
ORTS is a programming environment for studying real-time AI
problems such as pathfinding, dealing with imperfect
information, scheduling, and planning in the domain of RTS
games. These games are fast-paced and very popular. Furthermore,
the current state of RTS game AI is bleak which is mainly caused
by the lack of planning and learning - areas in which humans are
currently much better than machines. Therefore, RTS games make
an ideal test-bed for real-time AI research. Unfortunately,
commercial RTS games are closed software which prevents
researchers from connecting remote AI modules to them.
Furthermore, commercial RTS games are based on peer-to-peer
technology - which in a nutshell runs the entire simulation on
all player machines and just hides part of the game state from
the players. By tampering with the client software it is
possible to reveal the entire game state and thereby gain an
unfair advantage. We feel that this is unacceptable for playing
games on the internet. We therefore started the ORTS project to
create a free software system that lets people and machines play
fair RTS games. The communication protocol is public and all
source code and artwork is freely available. Users can connect
whatever client software they like. This is made possible by a
server/client architecture in which only the currently visible
parts of the game state are sent to the players. This openness
leads to new and interesting possibilities ranging from on-line
tournaments of autonomous AI players to gauge their playing
strength to hybrid systems in which human players use
sophisticated GUIs which allow them to delegate tasks to AI
helper modules of increasing performance.
Penguin!
· FTP site:
Penguin is a Perl 5 module. It provides you with a set of
functions which allow you to:
· send encrypted, digitally signed Perl code to a remote
machine to be executed.
· receive code and, depending on who signed it, execute it in
an arbitrarily secure, limited compartment.
The combination of these functions enable direct Perl coding of
algorithms to handle safe internet commerce, mobile information-
gathering agents, "live content" web browser helper apps, dis-
tributed load-balanced computation, remote software update, dis-
tance machine administration, content-based information propaga-
tion, Internet-wide shared-data applications, network applica-
tion builders, and so on.
Ps-i
· Web site: ps-i.sourceforge.net
Ps-i is an environment for running agent-based simulations. It
is cross-platform, with binaries available for Win32. Features
include:
· declarative language for model specification
· industry standard Tcl/Tk scripting with built-in routine
optimization, speculative evaluation and xf86 JIT compiler
users can create complex models without sacrificing
perfomance
· user friendly interface
· save and restore program runs
· change model parameters on the fly
· data visualization: field display with multiple agent shapes
and color, statistics window, agent viewer, routine browser
and highlight agents tool
Pyro
· Web site: http://pyrorobotics.org/
Pyro is a library, environment, graphical user interface, and
low-level drivers to explore AI and robotics using the Python
language. It works with many real robotics platforms and
simulators. Extensive algorithms including behavior-based,
vision (motion tracking, blobs, etc.), learning (back-
propagation, self-organizing maps, etc.), evolutionary, and
more.
Quackle
· Web site:
· Alt Web site:
· Alt Web site:
Quackle is a world-class crossword game artificial intelligence
and analysis tool. It includes a move generator, simulator, and
Qt-based user interface and can be used with any board layout,
alphabet, lexicon, and tile distribution.
Recast
· Web site:
Recast is state of the art navigation mesh construction toolset
for games.
· It is automatic, which means that you can throw any level
geometry at it and you will get robust mesh out
· It is fast which means swift turnaround times for level
designers
· It is open source so it comes with full source and you can
customize it to your hearts content.
The Library is free for commercial use and open source under the
ZLib License.
Recast is accompanied with Detour, path-finding and spatial
reasoning toolkit. You can use any navigation mesh with Detour,
but of course the data generated with Recast fits perfectly.
Detour offers simple static navigation mesh which is suitable
for many simple cases, as well as tiled navigation mesh which
allows you to plug in and out pieces of the mesh. The tiled mesh
allows to create systems where you stream new navigation data in
and out as the player progresses the level, or you may
regenerate tiles as the world changes.
Remembrance Agents
· Web site: www.remem.org
Remembrance Agents are a set of applications that watch over a
user's shoulder and suggest information relevant to the current
situation. While query-based memory aids help with direct
recall, remembrance agents are an augmented associative memory.
For example, the word-processor version of the RA continuously
updates a list of documents relevant to what's being typed or
read in an emacs buffer. These suggested documents can be any
text files that might be relevant to what you are currently
writing or reading. They might be old emails related to the
mail you are currently reading, or abstracts from papers and
newspaper articles that discuss the topic of your writing.
SimAgent
· Web site:
www.cs.bham.ac.uk/research/projects/poplog/packages/simagent.html
The SimAgent toolkit provides a range of resources for research
and teaching related to the development of interacting agents in
environments of various degrees and kinds of complexity. It can
be run as a pure simulation tool, or installed in a robot with a
sufficiently powerful on-board computer, e.g. running linux. It
was originally developed to support exploratory research on
human-like intelligent agents, but has also been used for
student projects developing a variety of interactive games and
simulations.
spyse
· Web site: spyse.sf.net
· Alt Web site: zope.org/Members/drapmeyer/spyse
spyse is a development framework and platform for building
multi-agent systems using the Python programming language. A
multi-agent system (MAS) combines concepts from distributed
computing and artificial intelligence. Agents are autonomously
reasoning software entities that can collaborate (or compete) in
order to achieve a (common) goal. By cooperating they create
emergent behaviour in the system (distributed artificial
intelligence). The architecture of a MAS is specified in the
FIPA standard.
Spyse provides multiple means for reasoning (BDI logics, CLIPS
expert shell, etc.) and communicating locally and remotely.
Each agent has its own thread of control. Agents within and
among instances of the platform communicate by exchanging
messages based on ontologies. Spyse makes use of the Web
Ontology Language (OWL) defined for the Semantic Web.
TKQML
· Web site: www.csee.umbc.edu/tkqml/
TKQML is a KQML application/addition to Tcl/Tk, which allows Tcl
based systems to communicate easily with a powerful agent
communication language.
The Tocoma Project
· Web site: www.tacoma.cs.uit.no/
An agent is a process that may migrate through a computer
network in order to satisfy requests made by clients. Agents are
an attractive way to describe network-wide computations.
The TACOMA project focuses on operating system support for
agents and how agents can be used to solve problems
traditionally addressed by operating systems. We have
implemented a series of prototype systems to support agents.
TACOMA Version 1.2 is based on UNIX and TCP. The system supports
agents written in C, Tcl/Tk, Perl, Python, and Scheme (Elk). It
is implemented in C. This TACOMA version has been in public
domain since April 1996.
We are currently focusing on heterogeneity, fault-tolerance,
security and management issues. Also, several TACOMA
applications are under construction. We implemented StormCast
4.0, a wide-area network weather monitoring system accessible
over the internet, using TACOMA and Java. We are now in the
process of evaluating this application, and plan to build a new
StormCast version to be completed by June 1997.
UMPRS Agent
· Web site: http://www.marcush.net/IRS/
UMPRS supports top-down, goal-based reasoning and selects goals
and plans based on maximal priority. Execution of multiple
simultaneous goals are supported, with suspension and resumption
capabilities for each goal (i.e., intention) thread. UMPRS plans
have an integrated precondition/runtime attribute that constrain
their applicability. Available plan constructs include:
sequencing, iteration, subgoaling, atomic (i.e., non-
interruptable) blocks, n-branch deterministic conditional
execution, explicit failure-handling section, and C++ primitive
function definition.
WebMate
· Web site:
WebMate is a personal agent for World-Wide Web browsing and
searching. It accompanies you when you travel on the internet
and provides you what you want.
Features include:
· Searching enhancement, including parallel search, searching
keywords refinement using our relevant keywords extraction
technology, relevant feedback, etc.
· Browsing assistant, including learning your current
interesting, recommending you new URLs according to your
profile and selected resources, monitoring bookmarks of
Netscape or IE, sending the current browsing page to your
friends, etc.
· Offline browsing, including downloading the following pages
from the current page for offline browsing.
· Filtering HTTP header, including recording http header and
all the transactions between your browser and WWW servers,
etc.
· Checking the HTML page to find the errors or dead links,
etc.
· Programming in Java, independent of operating system, runing
in multi-thread.
6.2. Robotics and Simulators
From fun battling robot games to full robot control systems. The idea
is physical agents in the real world, or at least their control
programming.
BattleBots
· Web site: www.bluefire.nu/battlebots/
AI programming game where you design the bot by selecting
hardware and programming its CPU, then competing with other
bots. Competitions can have teams and special rules for a game.
The hardware for use in your bot includes weapons, engine,
scanners, CPU, etc. The programming lauguage is dependent on the
CPU type and is similar to an assembly language.
Cadaver
· Web site: www.erikyyy.de/cadaver/
Cadaver is a simulated world of cyborgs and nature in realtime.
The battlefield consists of forests, grain, water, grass,
carcass (of course) and lots of other things. The game server
manages the game and the rules. You start a server and connect
some clients. The clients communicate with the server using a
very primitive protocol. They can order cyborgs to harvest
grain, attack enemies or cut forest. The game is not intended
to be played by humans! There is too much to control. Only for
die-hards: Just telnet to the server and you can enter commands
by hand. Instead the idea is that you write artificial
intelligence clients to beat the other artificial intelligences.
You can choose a language (and operating system) of your choice
to do that task. It is enough to write a program that
communicates on standard input and standard output channels.
Then you can use programs like "socket" to connect your clients
to the server. It is NOT needed to write TCP/IP code, although
i did so :) The battle shall not be boring, and so there is the
so called spyboss client that displays the action graphically on
screen.
Carmen
· Web site:
CARMEN, the Carnegie Mellon Robot Navigation Toolkit. CARMEN is
an open-source collection of software for mobile robot control.
CARMEN is modular software designed to provide basic navigation
primatives including: base and sensor control, logging, obstacle
avoidance, localization, path planning, and mapping.
CLARAty
· Web site:
CLARAty is an integrated framework for reusable robotic
software. It defines interfaces for common robotic functionality
and integrates multiple implementations of any given
functionality. Examples of such capabilities include pose
estimation, navigation, locomotion and planning. In addition to
supporting multiple algorithms, it provides adaptations to
multiple robotic platforms.
This is a public release of the some of the code used in the
Mars rover projects at NASA. It is under a free for non-
commercial use licence and consists of large number of modules
and algorithms along with extensive documentation.
GNU Robots
· Web site:
GNU Robots is a game/diversion where you construct a program for
a little robot, then watch him explore a world. The world is
filled with baddies that can hurt you, objects that you can bump
into, and food that you can eat. The goal of the game is to
collect as many prizes as possible before are killed by a baddie
or you run out of energy. Robots can be written in Guile scheme
or using a GUI.
Infon Battle Arena
· Web site:
· Web site:
Infon Battle Arena is a networked multiplayer real-time
programming game featuring little creatures fighting for food.
You upload your Creature Code (written in Lua) to a game server
using a telnet Interface. The game server then runs your code.
The graphical client can be used to watch running games or
replay recorded games.
Khepera Simulator
· Web site:
Khepera Simulator is a public domain software package written by
Olivier MICHEL during the preparation of his Ph.D.
thesis, at the Laboratoire I3S, URA 1376 of CNRS and University
of Nice-Sophia Antipolis, France. It allows to write your own
controller for the mobile robot Khepera using C or C++
languages, to test them in a simulated environment and features
a nice colorful X11 graphical interface. Moreover, if you own a
Khepera robot, it can drive the real robot using the same
control algorithm. It is mainly oriented toward to researchers
studying autonomous agents.
MRPT
· Web site:
The Mobile Robot Programming Toolkit (MRPT) is an extensive,
cross-platform, and open source C++ library aimed to help
robotics researchers to design and implement algorithms in the
fields of Simultaneous Localization and Mapping (SLAM), computer
vision, and motion planning (obstacle avoidance).
Nero
· Web site:
Neuro-Evolving Robotic Operatives, or NERO for short, is a
unique computer game that lets you play with adapting
intelligent agents hands-on. Evolve your own robot army by
tuning their artificial brains for challenging tasks, then pit
them against your friends' teams in online competitions!
The goals of the project are (1) to demonstrate the power of
state-of-the-art machine learning technology, (2) to create an
engaging game based on it, and (3) to provide a robust and
challenging development and benchmarking domain for AI
researchers.
Closed source but free to download. They are working on OpenNERO
which will be open source and more intended as a research
platform.
Orca
· Web site:
· Web site:
Orca is an open-source framework for developing component-based
robotic systems. It provides the means for defining and
developing the building-blocks which can be pieced together to
form arbitrarily complex robotic systems, from single vehicles
to distributed sensor networks.
Player
· Web site:
· Player wiki:
Player is a device server that provides a powerful, flexible
interface to a variety of sensors and actuators (e.g., robots).
Because Player uses a TCP socket-based client/server model,
robot control programs can be written in any programming
language and can execute on any computer with network
connectivity to the robot. In addition, Player supports multiple
concurrent client connections to devices, creating new
possibilities for distributed and collaborative sensing and
control.
RealTimeBattle
· Web site:
RealTimeBattle is a programming game, in which robots controlled
by programs are fighting each other. The goal is to destroy the
enemies, using the radar to examine the environment and the
cannon to shoot.
· Game progresses in real time, with the robot programs running
as child processes to RealTimeBattle.
· The robots communicate with the main program using the
standard input and output.
· Robots can be constructed in almost any programming language.
· Maximum number of robots can compete simultaneously.
· A simple messaging language is used for communication, which
makes it easy to start constructing robots.
· Robots behave like real physical object.
· You can create your own arenas.
· Highly configurable.
Robocode
· Web site:
A java based robot combat programming game. It provides a simple
API and class framework. It is designed as a means of learning
Java and is easy to start using while not constraining the
programmer from more advanced techniques. It has a built in
security manager for running other peoples robots in a safe way.
Robodeb
· Web site:
Robodeb is a complete robotics simulation environment for
teaching concurrency and parallelism. It provides a unique
environment for exploring concurrency and robotics. It provides
a complete IDE for the occam-pi programming language, and
leverages the Transterpreter, our portable and flexible runtime
for the language. This combination is critical, as it provides a
principled interface to the Player/Stage API, a set of widely
used libraries for controlling the Pioneer3 robotics platform.
RobotFlow
· Web site:
RobotFlow is a mobile robotics tookit based on the FlowDesigner
project. FlowDesigner is a data-flow oriented architecture,
similar to Simulink (Matlab) or Labview that is free (LGPL) and
versatile. The visual programming interface provided in the
FlowDesigner project will help people to better visualize &
understand what is really happening in the robot's control
loops, sensors, actuators, by using graphical probes and
debugging in real-time.
RoboTournament
· Web site:
RoboTournament is a RoboRally inspired game where players
program their robots to vanquish their opponents. RoboTournament
features: Multiple Game Types: Death Match, Rally, and Capture
The Flag. Multi-Player through TCP/IP, Six weapons including
BFG, Map Editor, and a wide variety of board elements.
ROS
· Web site:
ROS is an operating system for your robot. It provides the
services you would expect from an operating system, including
hardware abstraction, low-level device control, implementation
of commonly-used functionality, message-passing between
processes, and package management. It also provides tools and
libraries for obtaining, building, writing, and running code
across multiple computers.
Simbad
· Web site:
Simbad is a Java 3d robot simulator for scientific and
educationnal purposes. It is mainly dedicated to
researchers/programmers who want a simple basis for studying
Situated Artificial Intelligence, Machine Learning, and more
generally AI algorithms, in the context of Autonomous Robotics
and Autonomous Agents. It is not intented to provide a real
world simulation and is kept voluntarily readable and simple.
Simbad enables programmers to write their own robot controller,
modify the environment and use the available sensors. Don't
think of it as a finite product but merely as an opened
framework to test your own ideas.
SimRobot
· Web site:
· FTP site:
SimRobot is a program for simulation of sensor based robots in a
3D environment. It is written in C++, runs under UNIX and X11
and needs the graphics toolkit XView.
· Simulation of robot kinematics
· Hierarchically built scene definition via a simple definition
language
· Various sensors built in: camera, facette eye, distance
measurement, light sensor, etc.
· Objects defined as polyeders
· Emitter abstractly defined; can be interpreted e.g. as light
or sound
· Camera images computed according to the raytracing or Z-
buffer algorithms known from computer graphics
· Specific sensor/motor software interface for communicating
with the simulation
· Texture mapping onto the object surfaces: bitmaps in various
formats
· Comprehensive visualization of the scene: wire frame w/o
hidden lines, sensor and actor values
· Interactive as well as batch driven control of the agents and
operation in the environment
· Collision detection
· Extendability with user defined object types
· Possible socket communication to e.g. the Khoros image
processing software
TclRobots
· Web site:
TclRobots is a programming game, similar to 'Core War'. To play
TclRobots, you must write a Tcl program that controls a robot.
The robot's mission is to survive a battle with other robots.
Two, three, or four robots compete during a battle, each running
different programs (or possibly the same program in different
robots.) Each robot is equipped with a scanner, cannon, drive
mechanism. A single match continues until one robot is left
running. Robots may compete individually, or combine in a team
oriented battle. A tournament can be run with any number of
robot programs, each robot playing every other in a round-robin
fashion, one-on-one. A battle simulator is available to help
debug robot programs.
The TclRobots program provides a physical environment, imposing
certain game parameters to which all robots must adhere.
TclRobots also provides a view on a battle, and a controlling
user interface. TclRobots requirements: a wish interpreter
built from Tcl 7.4 and Tk 4.0.
URBI
· Web site:
URBI is a Universal Real-time Behavior Interface and gives you a
simple but powerful way to control any robot or complex system
like a video game, using a convenient and easy to use scripting
language that can be interfaced with several popular programming
languages (C++, Java, Matlab,...) and OS (Windows, Mac OSX,
Linux). URBI is based on a client/server architecture, which
give a great deal of flexibility. URBI includes powerful
features compared to existing scripting solutions: parallel
execution of commands, event programming, command tagging,
dynamic variables,... Currently, URBI is used as well by
academic research labs, the industry and by hobbyists.
VWORLD
· Web site:
Vworld is a simulated environment for research with autonomous
agents written in prolog. It is currently in something of an
beta stage. It works well with SWI-prolog, but should work with
Quitnus-prolog with only a few changes. It is being designed to
serve as an educational tool for class projects dealing with
prolog and autonomous agents. It comes with three demo worlds or
environments, along with sample agents for them. There are two
versions now. One written for SWI-prolog and one written for
LPA-prolog. Documentation is roughly done (with a
student/professor framework in mind).
Yampa
· Web site: http://www.haskell.org/yampa/
FRP system with robotics library and graphical interactive
robotics simulator.
Functional reactive programming, or FRP, is a paradigm for
programming hybrid systems i.e., systems containing a
combination of both continuous and discrete components in a
high-level, declarative way. The key ideas in FRP are its
notions of continuous, time-varying values, and time-ordered
sequences of discrete events. Yampa is an instantiation of FRP
as a domain-specific language embedded in Haskell.
YARP
· Web site:
YARP is plumbing for robot software. It is a set of libraries,
protocols, and tools to keep modules and devices cleanly
decoupled. It is reluctant middleware, with no desire or
expectation to be in control of your system.
More specifically, YARP supports building a robot control system
as a collection of programs communicating in a peer-to-peer way,
with a family of connection types that meet the diverse,
sometimes contradictory, and always changing needs of advanced
robotics. We also encourage compilation and use of hardware
devices in a future-proof way. Our strategic goal is to increase
the longevity of robot software projects.
7. Statistical & Machine Learning
All about getting machines to learn to do something rather than
explicitly programming to do it. Tends to deal with pattern matching a
lot and are heavily math and statistically based. Technically ``''
falls under this category, but it is such a large sub-field I'm
keeping it in a separate section.
7.1. Libraries
Libraries or frameworks used for writing machine learning systems.
CognitiveFoundry
· Web site:
The Cognitive Foundry is a modular Java software library for the
research and development of cognitive systems. It contains many
reusable components for machine learning, statistics, and
cognitive modeling. It is primarily designed to be easy to plug
into applications to provide adaptive behaviors.
CompLearn
· Web site:
CompLearn is a software system built to support compression-
based learning in a wide variety of applications. It provides
this support in the form of a library written in highly portable
ANSI C that runs in most modern computer environments with
minimal confusion. It also supplies a small suite of simple,
composable command-line utilities as simple applications that
use this library. Together with other commonly used machine-
learning tools such as LibSVM and GraphViz, CompLearn forms an
attractive offering in machine-learning frameworks and toolkits.
Elefant
· Web site:
Elefant (Efficient Learning, Large-scale Inference, and
Optimisation Toolkit) is an open source library for machine
learning licensed under the Mozilla Public License (MPL). We
develop an open source machine learning toolkit which provides
· algorithms for machine learning utilising the power of multi-
core/multi-threaded processors/operating systems (Linux,
WIndows, Mac OS X),
· a graphical user interface for users who want to quickly
prototype machine learning experiments,
· tutorials to support learning about Statistical Machine
Learning (Statistical Machine Learning at The Australian
National University), and
· detailed and precise documentation for each of the above.
Maximum Entropy Toolkit
· Web site:
The Maximum Entropy Toolkit provides a set of tools and library
for constructing maximum entropy (maxent) model in either Python
or C++.
Maxent Entropy Model is a general purpose machine learning
framework that has proved to be highly expressive and powerful
in statistical natural language processing, statistical physics,
computer vision and many other fields.
Milk
· Web site:
· Web site:
Milk is a machine learning toolkit in Python. It's focus is on
supervised classification with several classifiers available:
SVMs (based on libsvm), k-NN, random forests, decision trees. It
also performs feature selection. These classifiers can be
combined in many ways to form different classification systems.
For unsupervised learning, milk supports k-means clustering and
affinity propagation.
NLTK
· Web site:
NLTK, the Natural Language Toolkit, is a suite of Python
libraries and programs for symbolic and statistical natural
language processing. NLTK includes graphical demonstrations and
sample data. It is accompanied by extensive documentation,
including tutorials that explain the underlying concepts behind
the language processing tasks supported by the toolkit.
NLTK is ideally suited to students who are learning NLP (natural
language processing) or conducting research in NLP or closely
related areas, including empirical linguistics, cognitive
science, artificial intelligence, information retrieval, and
machine learning. NLTK has been used successfully as a teaching
tool, as an individual study tool, and as a platform for
prototyping and building research systems.
peach
· Web site:
Peach is a pure-python module, based on SciPy and NumPy to
implement algorithms for computational intelligence and machine
learning. Methods implemented include, but are not limited to,
artificial neural networks, fuzzy logic, genetic algorithms,
swarm intelligence and much more.
The aim of this library is primarily educational. Nonetheless,
care was taken to make the methods implemented also very
efficient.
pebl
· Web site:
Pebl is a python library and command line application for
learning the structure of a Bayesian network given prior
knowledge and observations. Pebl includes the following
features:
· Can learn with observational and interventional data
· Handles missing values and hidden variables using exact and
heuristic methods
· Provides several learning algorithms; makes creating new ones
simple
· Has facilities for transparent parallel execution using
several cluster/grid resources
· Calculates edge marginals and consensus networks
· Presents results in a variety of formats
PyBrain
· Web site:
PyBrain is a modular Machine Learning Library for Python. It's
goal is to offer flexible, easy-to-use yet still powerful
algorithms for Machine Learning Tasks and a variety of
predefined environments to test and compare your algorithms.
PyBrain contains algorithms for neural networks, for
reinforcement learning (and the combination of the two), for
unsupervised learning, and evolution. Since most of the current
problems deal with continuous state and action spaces, function
approximators (like neural networks) must be used to cope with
the large dimensionality. Our library is built around neural
networks in the kernel and all of the training methods accept a
neural network as the to-be-trained instance. This makes PyBrain
a powerful tool for real-life tasks.
MBT
· Web site:
MBT is a memory-based tagger-generator and tagger in one. The
tagger-generator part can generate a sequence tagger on the
basis of a training set of tagged sequences; the tagger part can
tag new sequences. MBT can, for instance, be used to generate
part-of-speech taggers or chunkers for natural language
processing. It has also been used for named-entity recognition,
information extraction in domain-specific texts, and disfluency
chunking in transcribed speech.
MLAP book samples
· Web site:
Not a library per-say, but a whole slew of example machine
learning algorithms from the book "Machine Learning: An
Algorithmic Perspective" by Stephen Marsland. All code is
written in python.
scikits.learn
· Web site:
scikits-learn is a Python module integrating classic machine
learning algorithms in the tightly-knit world of scientific
Python packages (numpy, scipy, matplotlib). It aims to provide
simple and efficient solutions to learning problems that are
accessible to everybody and reusable in various contexts:
machine-learning as a versatile tool for science and
engineering.
Shogun
· Web site:
The machine learning toolbox's focus is on large scale kernel
methods and especially on Support Vector Machines (SVM). It
provides a generic SVM object interfacing to several different
SVM implementations, among them the state of the art LibSVM and
SVMLight. Each of the SVMs can be combined with a variety of
kernels. The toolbox not only provides efficient implementations
of the most common kernels, like the Linear, Polynomial,
Gaussian and Sigmoid Kernel but also comes with a number of
recent string kernels as e.g. the Locality Improved, Fischer,
TOP, Spectrum, Weighted Degree Kernel (with shifts). For the
latter the efficient LINADD optimizations are implemented. Also
SHOGUN offers the freedom of working with custom pre-computed
kernels. One of its key features is the combined kernel which
can be constructed by a weighted linear combination of a number
of sub-kernels, each of which not necessarily working on the
same domain. An optimal sub-kernel weighting can be learned
using Multiple Kernel Learning. Currently SVM 2-class
classification and regression problems can be dealt with.
However SHOGUN also implements a number of linear methods like
Linear Discriminant Analysis (LDA), Linear Programming Machine
(LPM), (Kernel) Perceptrons and features algorithms to train
hidden markov models. The input feature-objects can be dense,
sparse or strings and of type int/short/double/char and can be
converted into different feature types. Chains of preprocessors
(e.g. substracting the mean) can be attached to each feature
object allowing for on-the-fly pre-processing.
SHOGUN is implemented in C++ and interfaces to Matlab(tm), R,
Octave and Python.
timbl
· Web site:
The Tilburg Memory Based Learner, TiMBL, is a tool for NLP
research, and for many other domains where classification tasks
are learned from examples. It is an efficient implementation of
k-nearest neighbor classifier.
TiMBL's features are:
· Fast, decision-tree-based implementation of k-nearest
neighbor lassification;
· Implementations of IB1 and IB2, IGTree, TRIBL, and TRIBL2
algorithms;
· Similarity metrics: Overlap, MVDM, Jeffrey Divergence, Dot
product, Cosine;
· Feature weighting metrics: information gain, gain ratio, chi
squared, shared variance;
· Distance weighting metrics: inverse, inverse linear,
exponential decay;
· Extensive verbosity options to inspect nearest neighbor sets;
· Server functionality and extensive API;
· Fast leave-one-out testing and internal cross-validation;
· and Handles user-defined example weighting.
7.2. Applications
Full applications that implement various machine learning or
statistical systems oriented toward general learning (i.e., no spam
filters and the like).
dbacl
· Web site:
The dbacl project consist of a set of lightweight UNIX/POSIX
utilities which can be used, either directly or in shell
scripts, to classify text documents automatically, according to
Bayesian statistical principles.
Torch5
· Web site:
Torch5 provides a matlab-like environment for state-of-the-art
machine learning algorithms. It is easy to use and provides a
very efficient implementation, thanks to a easy and fast
scripting language (Lua) and a underlying C++ implementation. It
is distributed under a BSD license.
This is the successor to the ``Torch3'' project.
Vowpal Wabbit
· Web site:
Vowpal Wabbit is a fast online learning algorithm. It features:
· flexible input data specification
· speedy learning
· scalability (bounded memory footprint, suitable for
distributed computation)
· feature pairing
The core algorithm is specialist gradient descent (GD) on a loss
function (several are available), The code should be easily
usable.
8. Missing & Dead
This is my area for old or bad entries. The MIA section is for entires
for which I no longer have a valid home page. If you have any
information regarding where I can find these now please let me know.
The Dead section is for projects that seem dead. Moving them here
allows me to keep my the main sections clean while allowing for
interested parties to correct me in which case I can just move it
back.
8.1. MIA - Projects missing linkage.
AntWars
· Web site: http://ant-wars.net/
Ant Wars is a competition which pits clever programs against
each other to do battle and compete for food in virtual worlds.
Each contestant is a species of ant, which can visualize only
the world immediately around him and pheromones left by fellow
and enemy ants. Using this information, the ant brain (a simple
state machine) must guide the ant towards collecting food at his
home ant hill, while fending off or attacking enemies.
Clever use of pheromones and subtle behaviors can create large
scale tactics such as raiding, defense, harvesting, and scouting
when many ants cooperate.
CASE
· Web site: http://www.iu.hio.no/~cell/
· FTP site: ftp://ftp.iu.hio.no/pub/
CASE (Cellular Automaton Simulation Environment) is a C++
toolkit for visualizing discrete models in two dimensions: so-
called cellular automata. The aim of this project is to create
an integrated framework for creating generalized cellular
automata using the best, standardized technology of the day.
CLEARS
· Web site: ????
The CLEARS system is an interactive graphical environment for
computational semantics. The tool allows exploration and
comparison of different semantic formalisms, and their
interaction with syntax. This enables the user to get an idea of
the range of possibilities of semantic construction, and also
where there is real convergence between theories.
CLIG
· Web site: http://www.ags.uni-sb.de/~konrad/clig.html
CLIG is an interactive, extendible grapher for visualizing
linguistic data structures like trees, feature structures,
Discourse Representation Structures (DRS), logical formulas etc.
All of these can be freely mixed and embedded into each other.
The grapher has been designed both to be stand-alone and to be
used as an add-on for linguistic applications which display
their output in a graphical manner.
Corewar VM
· Web site: http://www.jedi.claranet.fr/
This is a virtual machine written in Java (so it is a virtual
machine for another virtual machine !) for a Corewar game.
DAI
· Web site: http://starship.python.net/crew/gandalf/DNET/AI/
A library for the Python programming language that provides an
object oriented interface to the CLIPS expert system tool. It
includes an interface to COOL (CLIPS Object Oriented Language)
that allows:
· Investigate COOL classes
· Create and manipulate with COOL instances
· Manipulate with COOL message-handler's
· Manipulate with Modules
DHARMI
· Web site: http://megazone.bigpanda.com/~wolf/DHARMI/
DHARMI is a high level spatial, tinker-toy like language who's
components are transparently administered by a background
process called the Habitat. As the name suggests, the language
was designed to make modelling prototypes and handle living
data. Programs can be modified while running. This is
accomplished by blurring the distinction between source code,
program, and data.
Dunce
· Web site: http://www.boswa.com/boswabits/
Dunce is a simple chatterbot (conversational AI) and a language
for programming such chatterbots. It uses a basic regex pattern
matching and a semi-neural rule/response firing mechanism (with
excitement/decay cycles).
Dunce is listed about halfway down the page.
EcoSim
· Web site: http://www.offis.de/projekte/projekt.php?id=140
NOTE: the above web site has info on EcoSim but no code to
download.
In EcoSim an ecosystem is described by all static and dynamic
properties of the individuals involved in the system as well as
time varying properties of the environment. Individuals change
their state over time or due to internal and external events.
The environment is also defined via dynamic objects which can
change. Supports on the fly analysis and animation of generated
data. It is a C++ class library designed to support individual-
oriented modelling and simulation of ecological systems.
Evo
· Web site: http://omicrongroup.org/evo/
Evo is a software development framework that allows developers
to build complex alife simulations. Using Evo, researchers can
easily build systems of independent agents interacting with one
another and with their environment. Evo implements biological
operators such as genetic recombination and mutation to evolve
the behavior of agents so that they are more adapted to their
environment.
Grany-3
· Web site: http://zarb.org/ gc/html/grany.html
Grany-3 is a full-featured cellular automaton simulator, made in
C++ with Gtk--, flex++/bison++, doxygen and gettext, useful to
granular media physicists.
IBAL
· Web site: http://www.eecs.harvard.edu/~avi/IBAL/
IBAL (pronounced "eyeball") is a general-purpose language for
probabilistic modeling, parameter estimation and decision
making. It generalizes Bayesian networks, hidden Markov models,
stochastic context free grammars, Markov decision processes, and
allows many new possibilities. It also provides a convenient
programming-language framework with libraries, automatic type
checking and so on.
IDEAL
· Web site: http://yoda.cis.temple.edu:8080/ideal/
IDEAL is a test bed for work in influence diagrams and Bayesian
networks. It contains various inference algorithms for belief
networks and evaluation algorithms for influence diagrams. It
contains facilities for creating and editing influence diagrams
and belief networks.
IDEAL is written in pure Common Lisp and so it will run in
Common Lisp on any platform. The emphasis in writing IDEAL has
been on code clarity and providing high level programming
abstractions. It thus is very suitable for experimental
implementations which need or extend belief network technology.
At the highest level, IDEAL can be used as a subroutine library
which provides belief network inference and influence diagram
evaluation as a package. The code is documented in a detailed
manual and so it is also possible to work at a lower level on
extensions of belief network methods.
IDEAL comes with an optional graphic interface written in CLIM.
If your Common Lisp also has CLIM, you can run the graphic
interface.
Illuminator
· Web site:
http://documents.cfar.umd.edu/resources/source/illuminator.html
Illuminator is a toolset for developing OCR and Image
Understanding applications. Illuminator has two major parts: a
library for representing, storing and retrieving OCR
information, heretofore called dafslib, and an X-Windows "DAFS"
file viewer, called illum. Illuminator and DAFS lib were
designed to supplant existing OCR formats and become a standard
in the industry. They particularly are extensible to handle more
than just English.
The features of this release:
· 5 magnification levels for images
· flagged characters and words
· unicode support -- American, British, French, German, Greek,
Italian, MICR, Norwegian, Russian, Spanish, Swedish,
keyboards
· reads DAFS, TIFF's, PDA's (image only)
· save to DAFS, ASCII/UTF or Unicode
· Entity Viewer - shows properties, character choices, bounding
boxes image fragment for a selected entity, change type,
change content, hierarchy mode
Jet's Neural Architecture
· Web site: http://www.voltar-confed.org/jneural/
Jet's Neural Architecture is a C++ framework for doing neural
net projects. The goals of this project were to make a fast,
flexible neural architecture that isn't stuck to one kind of net
and to make sure that end users could easily write useful
applications. All the documentation is also easily readable.
Neural Networks at your Fingertips
· Web site: http://www.neural-networks-at-your-fingertips.com/
A set of ANSI C packages that illustrate Adaline networks, back-
propagation, the Hopfield model, BAM, Boltzman, CPN, SOM, and
ART1. Coded in portable, self-contained ANSI C. With complete
example applications from a variety of well-known application
domains.
Neureka ANS (nn/xnn)
· FTP site: ftp://ftp.ii.uib.no/pub/neureka/
nn is a high-level neural network specification language. The
current version is best suited for feed-forward nets, but
recurrent models can and have been implemented, e.g. Hopfield
nets, Jordan/Elman nets, etc. In nn, it is easy to change
network dynamics. The nn compiler can generate C code or
executable programs (so there must be a C compiler available),
with a powerful command line interface (but everything may also
be controlled via the graphical interface, xnn). It is possible
for the user to write C routines that can be called from inside
the nn specification, and to use the nn specification as a
function that is called from a C program. Please note that no
programming is necessary in order to use the network models that
come with the system (`netpack').
xnn is a graphical front end to networks generated by the nn
compiler, and to the compiler itself. The xnn graphical
interface is intuitive and easy to use for beginners, yet
powerful, with many possibilities for visualizing network data.
NOTE: You have to run the install program that comes with this
to get the license key installed. It gets put (by default) in
/usr/lib. If you (like myself) want to install the package
somewhere other than in the /usr directory structure (the
install program gives you this option) you will have to set up
some environmental variables (NNLIBDIR & NNINCLUDEDIR are
required). You can read about these (and a few other optional
variables) in appendix A of the documentation (pg 113).
NEURObjects
· Web site:
http://www.disi.unige.it/person/ValentiniG/NEURObjects/
NEURObjects is a set of C++ library classes for neural
networks development. The main goal of the library consists in
supporting researchers and practitioners in developing new
neural network methods and applications, exploiting the
potentialities of object-oriented design and programming.
NEURObjects provides also general purpose applications for
classification problems and can be used for fast prototyping of
inductive machine learning applications.
OSCAR
· Web site: http://oscarhome.soc-sci.arizona.edu/ftp/OSCAR-web-
page/oscar.html
The goal of the OSCAR project is the formulation of a general
theory of rationality and its implementation in an artificial
rational agent. The function of artificial agents is to draw
conclusions and make decisions on the basis of information
supplied to them. OSCAR is a fully implemented architecture for
rational agents, based upon a general purpose defeasible
reasoner. OSCAR is written in Common Lisp and is free for
educational and research purposes.
PAI
· Web site: http://utenti.quipo.it/claudioscordino/pai.html
AI (Programmable Artificial Intelligence) is a program capable
of having a conversation in its mother tongue, English. Written
in C++.
pygene
· Web site: http://www.freenet.org.nz/python/pygene/
pygene is a simple and easily understandable library for genetic
algorithms and genetic programming in python. Includes examples
such as the travelling salesman problem.
PyIE
· repo: https://www.dfwpython.org/repo/Projects/PyIE/
PyIE is a hypothesis based, agenda driven, object oriented
inference engine written in Python. Inferencing modes include
back chaining, opportunistic forward chaining and explicit
forward chaining. The first-class object base supports
metaclasses, classes, objects and multiple, dynamic inheritance.
All objects are first class objects and all attributes are slot
values, i.e. data members attached to some object.
PyIE uses a TMS (truth maintenance system) for first level
(condition change) non-monotonic reasoning. User defined
metaclasses are being explored to support second level (belief
change) non-monotonic reasoning.
Simple Neural Net (in Python)
· Web site: http://www.amk.ca/python/unmaintained/
Simple neural network code, which implements a class for 3-level
networks (input, hidden, and output layers). The only learning
rule implemented is simple backpropagation. No documentation (or
even comments) at all, because this is simply code that I use to
experiment with. Includes modules containing sample datasets
from Carl G. Looney's NN book. Requires the Numeric extensions.
Python Fuzzy Logic Module
· FTP site: ftp://ftp.csh.rit.edu/pub/members/retrev/
A simple python module for fuzzy logic. The file is 'fuz.tar.gz'
in this directory. The author plans to also write a simple
genetic algorithm and a neural net library as well. Check the
00_index file in this directory for release info.
QUANT1
· Web site: http://linux.irk.ru/projects/QUANT/
This project seems to have gone proprietary. The only trace I
can find via google is at
http://www.zurich.co.uk/strategicrisk/softwaresupport/Quant1.htm.
QUANT/1 stands for type QUANTifier. It aims to be an alternative
to Prolog-like (Resulutional-like) systems. Main features
include a lack of necessity for eliminating Quantifiers,
scolemisation, ease of comprehension, large scale formulae
operation, acceptance of nonHorn formulaes, and Iterative
deeping. The actual library implemented in this project is
called ATPPCF (Automatic Theorem Prover in calculus of
Positively Constructed Formulae).
ATPPCF will be a library (inference engine) and an extension of
the Predicate Calculus Language as a new logical language. The
library will be incorporable in another software such as TCL,
Python, Perl. The engine's primary inference method will be the
"search of inference in language of Positively Constructed
Formulas (PCFs)" (a subset of Predicate Calculus well translated
in both directions). The language will be used as scripting
language to the engine. But there will be possibility to replace
it with extensions languages of main software.
SCNN
· Web site: http://www.uni-frankfurt.de/fb13/iap/e_ag_rt/SCNN/
SCNN is an universal simulating system for Cellular Neural
Networks (CNN). CNN are analog processing neural networks with
regular and local interconnections, governed by a set of
nonlinear ordinary differential equations. Due to their local
connectivity, CNN are realized as VLSI chips, which operates at
very high speed.
Symbolic Probabilistic Inference (SPI)
· FTP site: ftp://ftp.engr.orst.edu/pub/dambrosi/spi/
· Paper (ijar-94.ps): ftp://ftp.engr.orst.edu/pub/dambrosi/
Contains Common Lisp function libraries to implement SPI type
baysean nets. Documentation is very limited. Features:
· Probabilities, Local Expression Language Utilities,
Explanation, Dynamic Models, and a TCL/TK based GUI.
SPRLIB/ANNLIB
· Web site: http://www.ph.tn.tudelft.nl/~sprlib/
SPRLIB (Statistical Pattern Recognition Library) was developed
to support the easy construction and simulation of pattern
classifiers. It consist of a library of functions (written in C)
that can be called from your own program. Most of the well-known
classifiers are present (k-nn, Fisher, Parzen, ....), as well as
error estimation and dataset generation routines.
ANNLIB (Artificial Neural Networks Library) is a neural network
simulation library based on the data architecture laid down by
SPRLIB. The library contains numerous functions for creating,
training and testing feed-forward networks. Training algorithms
include back-propagation, pseudo-Newton, Levenberg-Marquardt,
conjugate gradient descent, BFGS.... Furthermore, it is possible
- due to the datastructures' general applicability - to build
Kohonen maps and other more exotic network architectures using
the same data types.
Sugal
· Web site: http://www.trajan-software.demon.co.uk/sugal.htm
Sugal [soo-gall] is the SUnderland Genetic ALgorithm system.
The aim of Sugal is to support research and implementation in
Genetic Algorithms on a common software platform. As such, Sugal
supports a large number of variants of Genetic Algorithms, and
has extensive features to support customization and extension.
ThoughtTreasure
· Web site: http://www.signiform.com/tt/htm/tt.htm
ThoughtTreasure is a project to create a database of commonsense
rules for use in any application. It consists of a database of a
little over 100K rules and a C API to integrate it with your
applications. Python, Perl, Java and TCL wrappers are already
available.
TIN
· Web site: http://www.jetlag.demon.nl/
This program simulates primitive life-forms, equipped with some
basic instincts and abilities, in a 2D environment consisting of
cells. By mutation new generations can prove their success, and
thus passing on "good family values".
The brain of a TIN can be seen as a collection of processes,
each representing drives or impulses to behave a certain way,
depending on the state/perception of the environment ( e.g.
presence of food, walls, neighbors, scent traces) These behavior
process currently are : eating, moving, mating, relaxing,
tracing others, gathering food and killing. The process with the
highest impulse value takes control, or in other words: the tin
will act according to its most urgent need.
Ummon
· Web site: http://www.spacetide.com/projects/ummon/
Ummon is an advanced Open Source chatterbot. The main principle
of the bot is that it has no initial knowledge of either words
or grammar; it learns everything "on the fly." Numerous AI
techniques will be explored in the development of Ummon to
achieve realistic "human" communication with support for
different, customizable personalities.
Virtual Secretary Project (ViSe)
(Tcl/Tk)
· Web site: http://www.vise.cs.uit.no/vise/
The motivation of the Virtual Secretary project is to construct
user-model-based intelligent software agents, which could in
most cases replace human for secretarial tasks, based on modern
mobile computing and computer network. The project includes two
different phases: the first phase (ViSe1) focuses on information
filtering and process migration, its goal is to create a secure
environment for software agents using the concept of user
models; the second phase (ViSe2) concentrates on agents'
intelligent and efficient cooperation in a distributed
environment, its goal is to construct cooperative agents for
achieving high intelligence. (Implemented in Tcl/TclX/Tix/Tk)
Zeus
· Web site: http://more.btexact.com/projects/agents/zeus/
The construction of multi-agent systems involves long
development times and requires solutions to some considerable
technical difficulties. This has motivated the development of
the ZEUS toolkit, which provides a library of software
components and tools that facilitate the rapid design,
development and deployment of agent system
8.2. Dead projects.
FIPA-OS
· Web site: http://fipa-os.sourceforge.net/index.htm
FIPA-OS is an open source implementation of the mandatory
elements contained within the FIPA specification for agent
interoperability. In addition to supporting the FIPA
interoperability concepts, FIPA-OS also provides a component
based architecture to enable the development of domain specific
agents which can utilise the services of the FIPA Platform
agents. It is implemented in Java.
PDKB
· Web site: http://lynx.eaze.net/~pdkb/web/
· SourceForge site: http://sourceforge.net/projects/pdkb/
Public Domain Knowledge Bank (PDKB) is an Artificial
Intelligence Knowledge Bank of common sense rules and facts. It
is based on the Cyc Upper Ontology and the MELD language.
RobocodeNG
· Web site: http://robocodeng.sourceforge.net/
Merged together with original ``'' as of version 1.1.
Extension of Robocode, the battling bot AI programming game.
Like its parent, it is written in Java and meant as a learning
environment.
Sulawesi
· Web site: http://wearables.essex.ac.uk/sulawesi/
A framework called Sulawesi has been designed and implemented to
tackle what has been considered to be important challenges in a
wearable user interface. The ability to accept input from any
number of modalities, and perform if necessary a translation to
any number of modal outputs. It does this primarily through a
set of proactive agents to act on the input.
TresBel
· Abstract: http://iridia.ulb.ac.be/Projects/imple.html
· Direct Download:
ftp://iridia.ulb.ac.be/pub/hongxu/software/TresBel.tar.Z
This project seems to have been superseded by ``''.
Libraries containing (Allegro) Common Lisp code for Belief
Functions (aka. Dempster-Shafer evidential reasoning) as a
representation of uncertainty. Very little documentation. Has a
limited GUI.
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