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Artificial Intelligence FAQ: Open Source AI Software 6/6 [Monthly posting]
Section - [6-7] Frame Systems - ICOT

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Frame Systems:

     FrameWork   --

     Theo        -- Contact:

     FrameKit    -- Contact:

     KR          -- Contact:

     PARKA       -- Contact:
                    Frames for the CM

     PARMENIDES (Frulekit) -- Contact: 

     FROBS       --
                    Contact: Robert Kessler <>

     PFC         -- ??

     YAK         -- Contact: Enrico Franconi <>

Fuzzy Logic:

   FLIE    --   []
              Fuzzy Logic Inference Engine, Institute of Robotics, ETH.

   RICE (Routines for Implementing C Expert systems) is a fuzzy/MV logic
   inference engine written in C. A C++ front-end with classes is provided.
   Tested with Borland C/C++ 3.1, Microsoft C/C++ 7.00 and GCC 2.4.5;
   examples are included. Documentation is available in WP 5.1 format and 
   PostScript. Available by anonymous ftp from and For more info contact Rene' Jager, <R.Jager@ET.TUDelft.NL>.

   FuNeGen 1.0 is a fuzzy neural system capable of generating fuzzy
   classification systems (as C-code) from sample data.
   FuNeGen 1.0 and the papers/reports describing the application and the 
   theoretical background can be obtained by anonymous ftp from

Game Playing:

   METAGAME is a game-playing workbench for developing and playing
   metagame programs. It includes a generator for symmetric chess-like
   games; definitions of chess, checkers, chinese chess, shogi, lose
   chess, lose checkers, french checkers, and tic tac toe translated into
   symmetric chess-like games; a legal move generator; and a variety of
   player programs, from simple through sophisticated.  The METAGAME
   Workbench runs in Quintus or Sictus Prolog.  Available by anonymous
   ftp from []
   For more information, contact Barney Pell <> of the
   University of Cambridge Computer Laboratory.

General AI:

   Generation5: Artificial Intelligence Repository.
   A repository of AI information and code, plus interviews with
   famous AI people.

   National Research Council of Canada's complete reseource page:

Genetic Algorithms:

   SCS (Simple Classifier System) is a C port of the system from
   Appendix D of "Genetic Algorithms in Search, Optimization, and Machine
   Learning" by David E. Goldberg. It was ported to C by Erik Mayer
   <>. For more information, contact the author.

   SCS-C is another port to C of Goldberg's Simple Classifier System.
   It includes some extensions, and runs on Sun 10/30 and Atari ST. SCS-C
   is available via anonymous ftp as scs-c-0.98j.tar.Z from [].  The
   documentation alone is available as scs-c-doc.tar.Z in the directory
   /pub/LCS/docs/.  For more information, contact Joerg Heitkoetter
   <>, c/o Systems Analysis Group,
   LSXI, Department of Computer Science, University of Dortmund, D-44221
   Dortmund, Germany.

   GENITOR is available by anonymous ftp from the Colorado State
   University Computer Science Department in []
   For further information, contact or If these fail to work, contact

   Other packages are described in detail in Nici Schraudolph's survey
   of free and commercial GA software (see the Genetic Algorithms
   Repository in [5-1]). Some of the free ones from Nici's list are
   summarized below. Many are available from the GA Repository.

     GAucsd      Genetic algorithms software 
                 To be put on a mailing list of GAucsd users, send
                 the message "add GAucsd" to

     GAbench     Genetic algorithms benchmarks and test problems  
                 Thomas Kammeyer (

     EM          Evolution Machine (EM)
                     em_tc.exe (EM for Turbo C)
                     em_tcp.exe (EM for Turbo C++)
                     em_man.exe (the manual)
                 Joachim Born <>

     Genie       GA-based modeling/forecasting system
                 Lance Chambers <>

     GENOCOP     GEnetic algorithm for Numerical Optimization for
                 COnstrained Problems. Optimizes function with any
                 number of linear constraints (equalities and inequalities)
     Genetic-2   Optimization package for the linear transportation problem.
     Genetic-2N  Optimization package for the nonlinear transportation problem.
                 All three were developed by Zbigniew Michalewicz and are
                 described in detail in his book "Genetic Algorithms + Data
                 Structures = Evolution Programs", Springer Verlag,
                 August 1992.
                    (also known as
                 Zbigniew Michalewicz <>

     WOLF        Simulator for G/SPLINES algorithm (genetic spline models)

     GAC, GAL    GA written in C/Lisp. Similar to John Grefenstette's Genesis.
                 Bill Spears <>

     ESCaPaDE    Experiments with evolutionary algorithsm.
                 Frank Hoffmeister <>
                 (Send mail with subject line "help" or "get ESCaPaDE")

     mGA1.0      Common Lisp implementation of a messy GA as described in
                 TCGA report 90004.
     SGA-C       C-language port and extension of the original Pascal
                 SGA code presented in Goldberg's book "Genetic
                 Algorithms in Search, Optimization & Machine
                 Learning", Addison Wesley, 1989. See TCGA report 91002.
     SGA-Cube    Goldberg's SGA code modified for nCUBE 2 hypercube
                 parallel computer.
                 All three are available by e-mail from 
                 Robert Elliott Smith <>.

     BUGS        Demonstrates genetic algorithms.
                 Joshua Smith <>

     SGPC        Simple Genetic Programming in C
                 Walter Alden Tackett and Aviram Carmi (

     GENEsYs []
                 Use "ftp" as user name, e-mail address as password.
                 Thomas Baeck <>

     GAGA        Jon Crowcroft <>.
     Splicer     Steve Bayer <>
     PARAGENESIS GA-Repository/e-mail Michael van Lent <>
     GENESIS     GA-Repository/e-mail John Grefenstette <>
     OOGA        GA-Repository/e-mail John Grefenstette <>
     DGENESIS    Erick Cantu <> or 

     PGA         Parallel Genetic Algorithms testbed
                 Peter Ross,

     ANT         PC Version of 'John Muir Trail' experiment.
                 Patrick M Brennan <>

   GPQUICK is a simple GP system implemented in C++.  It features an
   elegant object architecture with function (Function), program
   (Chrome), GA (Pop) and problem (Problem) classes.  The Problem class
   is proposed as a portable representation for problems that would be
   source compatible with a variety of other GP systems.  GPQUICK uses a
   steady state GA, tournament selection, one type of mutation, and
   subtree crossover.  It uses a fast, compact linear representation for
   S-expressions. It includes documentation from the associated magazine
   article (Byte, "Some Assembly Required", February 1994). GPQUICK is
   available by anonymous ftp from
   as the files gpquick.tar (unix version, tested with CC and g++) and (PC/ANSI C version, tested with Borland 3.1).
   For more information, write to Andrew Singleton <>.

   GENlib is a library of functions for genetic algorithms together with
   two applications of the library to train neural networks. The library
   is available by anonymous ftp from
   for academic research and educational purposes only. Commercial uses


   Japan's Institute for New Generation Computer Technology (ICOT) has
   made their software available to the public free of charge.  The
   collection includes a variety of prolog-based programs in symbol
   processing, knowledge representation, reasoning and problem solving,
   natural language processing. All programs are available by anonymous
   ftp from  Note that most of the programs are written
   for the PSI machines, and very few have been ported to Unix-based
   emulators.  For further information, send email to, or
   write to ICOT Free Software Desk, Institute for New Generation
   Computer Technology, 21st Floor, Mita Kokusai Bldg., 4-28, Mita
   1-chome, Minato-ku, Tokyo 108, Japan, fax +81-3-4456-1618.

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Top Document: Artificial Intelligence FAQ: Open Source AI Software 6/6 [Monthly posting]
Previous Document: [6-6] Data Mining - Expert Systems
Next Document: [6-8] Knowledge Representation - Medical

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