
Genetic Algorithms Digest   Wednesday, February 26 1992   Volume 6 : Issue 7

 - Send submissions to GA-List@AIC.NRL.NAVY.MIL
 - Send administrative requests to GA-List-Request@AIC.NRL.NAVY.MIL
 - anonymous ftp archive: FTP.AIC.NRL.NAVY.MIL (see v6n5 for details)

Today's Topics:
	- SGA-C and SGA-Cube added to ga-list archive
	- ALIFE Course at Stanford
	- CFP: Comparative Approaches to Cognitive Science

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CALENDAR OF GA-RELATED ACTIVITIES: (with GA-List issue reference)

 Canadian AI Conference, Vancouver,                           May 11-15, 1992
 COGANN, Combinations of GAs and NNs, @ IJCNN-92 (v5n31)      Jun 6,     1992
 ARTIFICIAL LIFE III, Santa Fe, NM                            Jun 15-19, 1992
 10th National Conference on AI, San Jose,                    Jul 12-17, 1992
 FOGA-92, Foundations of Genetic Algorithms, Colorado (v5n32) Jul 26-29, 1992
 COG SCI 92, Cognitive Science Conference, Indiana, (v5n39)   Jul 29-1,  1992
 ECAI 92, 10th European Conference on AI (v5n13)              Aug  3-7,  1992
 Parallel Problem Solving from Nature, Brussels, (v5n29)      Sep 28-30, 1992
 SAB92, From Animals to Animats, Honolulu (v6n6)              Dec 7-11,  1992

 (Send announcements of other activities to GA-List@aic.nrl.navy.mil)

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From: rob@galab2.mh.ua.edu
Date: Fri, 21 Feb 92 16:49:14 CST
Subject: SGA-C and SGA-Cube added to ga-list archive

  [Ed's Note: These programs are available as compressed tar files via
  anonymous ftp from the ga-list archive at ftp.aic.nrl.navy.mil.  They
  are in the directory  pub/galist/source-code/ga-source. --Alan]


   I am pleased to announce that SGA-C and SGA-Cube have been added to the
   ga-list archive. README files for each of the progarms are included below:

   -----sga-c/README-------
   SGA-C: A C-language Implementation of a Simple Genetic Algorithm

   ARCHIVE FILENAME: pub/galist/source-code/ga-source/sga-c.tar.Z

   Robert E. Smith
   The University of Alabama

   David E. Goldberg
   The University of Illinois

   and

   Jeff A. Earickson
   Alabama Supercomputer Network

   TCGA Report No. 91002

   SGA-C is a C-language translation and extension of the original Pascal SGA
   code presented in Goldberg's text (Goldberg, 1989).  It has some
   additional features, but its operation is essentially the same as that of
   the original, Pascal version.  A technical report (in PostScript file
   sga-c.ps) is included as a concise introduction to the SGA-C distribution.
   It is presented with the assumptions that the reader has a general
   understanding of Goldberg's original Pascal SGA code, and a good working
   knowledge of the C programming language.  The report begins with an
   outline of the files included in the SGA-C distribution, and the routines
   they contain.  The outline is followed by a discussion of significant
   features of SGA-C that differ from those of the Pascal version.  The
   report concludes with a discussion of routines that must be altered to
   implement one's own application in SGA-C.

   The authors are interested in the comments, criticisms, and bug reports
   from SGA-C users, so that the code can be refined for easier use in
   subsequent versions. Please email your comments to
   @ua1ix.ua.edu:rob@galab2.mh.ua.edu, or write to TCGA:

   The Clearinghouse for Genetic Algorithms
   The University of Alabama
   Department of Engineering Mechanics
   P.O. Box 870278
   Tuscaloosa, Alabama 35487

   References:
   Goldberg, D.E. (1989). Genetic algorithms in search, optimization, and
   machine learning. Reading, MA: Addison-Wesley. 


   ------sga-Cube/README-------
   SGA-Cube: A Simple Genetic Algorithm for nCUBE 2 Hypercube Parallel Computers

   ARCHIVE FILENAME: pub/galist/source-code/ga-source/sga-cube.tar.Z

   Jeff A. Earickson
   Alabama Supercomputer Network

   Robert E. Smith
   The University of Alabama

   and

   David E. Goldberg
   The University of Illinois

   TCGA Report No. 91005

   SGA-Cube is a C-language translation of the original Pascal SGA code
   presented by Goldberg (1989) with modifications to allow execution on the
   nCUBE 2 Hypercube Parallel Computer. When run on the nCUBE 2, SGA-Cube
   takes advantage of the hypercube architecture, and is scalable to any
   hypercube dimension.  The hypercube implementation is modular, so that the
   algorithm for exploiting parallel processors can be easily modified.  In
   addition to its parallel capabilities, SGA-Cube can be compiled on various
   serial computers via compile-time options.  In fact, when compiled on a
   serial computer, SGA-Cube is essentially identical to SGA-C (Smith,
   Goldberg, & Earickson, 1991).  SGA-Cube has been nominally tested on a Sun
   470 workstation, a Vax Ultrix system, a Cray X-MP/24 running UNICOS 5.1,
   and the nCUBE 2.  A technical report (in PostScript file sga-cube.ps) is
   included as a concise introduction to the SGA-Cube distribution.  It is
   presented with the assumptions that the reader has a general understanding
   of Goldberg's original Pascal SGA code, and a good working knowledge of
   the C programming language. The report begins with an outline of the files
   included in the SGA-Cube distribution, and the routines they contain. The
   outline is followed by a discussion of the significant features of
   SGA-Cube. The report concludes with a discussion of routines that must be
   altered to implement one's own application in SGA-Cube.

   The authors are interested in the comments, criticisms, and bug reports
   from SGA-Cube users, so that the code can be refined for easier use in
   subsequent versions.  Please email your comments to
   @ua1ix.ua.edu:rob@galab2.mh.ua.edu, or write to TCGA:

   The Clearinghouse for Genetic Algorithms
   The University of Alabama
   Department of Engineering Mechanics
   P.O. Box 870278
   Tuscaloosa, Alabama 35487


   Goldberg, D.E. (1989). Genetic algorithms in search, optimization, and
   machine learning. Reading, MA: Addison-Wesley. 

   Smith, R.E., Goldberg, D. E., & Earickson, J. (1991). SGA-C: A C-language
   implementation of a simple genetic algorithm (TCGA Report No. 91002).
   Tuscaloosa: The University of Alabama, The Clearinghouse for Genetic 
   Algorithms.


   Robert Elliott Smith
       Department of Engineering of Mechanics
       Room 210 Hardaway Hall
       The University of Alabama
       Box 870278
       Tuscaloosa, Alabama 35487
   <<email>> @ua1ix.ua.edu:rob@galab2.mh.ua.edu 
   <<phone>> (205) 348-1618
   <<fax>> (205) 348-6419    

------------------------------

From: John Koza <koza@Sunburn.Stanford.EDU>
Date: Fri, 21 Feb 92 10:48:26 PST
Subject: ALIFE Course at Stanford

   You may be interested in the following..

   ALIFE COURSE AT STANFORD

   Starting in Fall 1992, a new course in the Computer Science Department
   will be offered. The Course description follows:

   Existing carbon-based lifeforms exploit available energy (primarily from
   the sun) to organize available matter in order to survive, reproduce, and
   evolve, whereas computational forms of artificial life exploit computer
   time to organize computer memory to the same effect.  The course
   extrapolates the computational characteristics of existing lifeforms to
   life as it might be by presenting artificial life from the perspective of
   the major tools and the major issues of the field.  Tools include
   self-reproducing cellular automata, dynamical systems, genetic algorithms,
   genetic programming, neural nets, genomic processes, and nanotechnology.
   Issues include spontaneous emergence of self-replicating and
   self-improving computer programs; self-replicating matter; programmable
   matter; algorithmic chemistry; evolution; learning; and emergent
   computation.

   3 units, Fall (Koza), MW 1:15-2:30

   For additional information, contact
   John Koza
   Computer Science Department
   Margaret Jacks Hall
   Stanford University
   Stanford, California 94305

------------------------------

From: Herbert Roitblat  <roitblat@uhunix.uhcc.Hawaii.Edu>
Date: Tue, 18 Feb 92 15:30:51 HST
Subject: CFP: Comparative Approaches to Cognitive Science

		       Call for Participation

	Comparative Approaches to Cognitive Science (CACS92):

		   An International Summer School

       CACS92 is an international summer school to be held in Aix en
  Provence, France, July 6-17, 1992 on comparative approaches to cognitive
  science.  This school will bring together leading investigators in animal
  and human cognition, artificial intelligence, and robotics to discuss,
  compare, and share the concepts, problems, and techniques that
  characterize their fields of investigation.  It will also offer numerous
  opportunities for collaboration.  Its main goals are to discuss the role
  that investigations of animals and machines can play in the development of
  cognitive science generally, and to provide the intellectual and
  methodological tools necessary to the advancement of such developments.

       A major focus in cognitive science has been on modeling the
  performance of tasks that are characteristic of human intelligence, such
  as planning, problem solving, scientific creativity, and the like.
  Several investigators have recently suggested the possibility of a
  complementary comparative approach to cognitive science.  Rather than
  modeling toy problems from the larger domain of human expert behavior,
  this approach advocates the modeling of whole, albeit simple, organisms in
  a real environment, performing real biological tasks (surviving,
  exploring, mating, feeding, escaping predators, etc.).  The goal of the
  approach is to develop coherent incremental models out of functionally
  complete components.  Achieving this goal requires that we investigate
  animal performance and the mechanisms they use as the basis for our
  growing models.  It also requires extensive collaborations among
  ethologists, psychologists, computer scientists, engineers, and cognitive
  scientists because no one of these fields, by itself, has the tools to
  thoroughly understand the mechanisms of such complex processes.  The
  purpose of this summer school is to review the state of the art in this
  interdisciplinary approach and to share the tools and perspectives it
  requires.

       The summer school will be held at the Ecole d'Art d'Aix en Provence,
  France, from July 6-17, 1992.  Aix is in a beautiful part of France known
  as a favorite location for many of the Impressionist painters.

       The summer school will consist of morning lectures followed by
  afternoon discussions.  English will be the official language.  We have
  asked the instructors to prepare presentations that are accessible as
  tutorials to the students and are broader than normal, that describe not
  only the investigator's own interests, but also review the state of the
  art, and describe the theoretical and empirical tools that are employed.
  We have also asked them to draw explicit conclusions concerning how the
  work they describe impacts on cognitive science more generally.
  Presentations will draw specific conclusions about the role that cognition
  plays in solving behavioral problems and identify the kinds of organisms
  and environments in which such mechanisms may be useful.

       During the summer school, the Ecole d'Art d'Aix will simultaneously
  organize a series of artistic activities and demonstrations including
  conferences, workshops, and shows, for which artists of many nationalities
  have been invited to contribute works along the same themes as those of
  the planned summer school (artificial life, behavioral organization,
  networks, interconnectedness, robots, animal behavior, etc.).  Many
  opportunities for interaction among the scientific and artistic
  participants will be available.

       This promises to be an excellent and influential summer school.  In
  addition to the invited speakers, a limited number of
  participants/students can be accommodated.  Advanced graduate students,
  young researchers, new PhDs, and post-docs are particularly welcome.
  Participants are invited to submit abstracts for poster presentations
  during the summer school.

       The costs to participants have not yet been determined.  We expect
  that the registration fee for the summer school will be approximately
  FF4,500, which would cover summer school registration, room (in student
  housing at the University of Aix) and board.  We expect some scholarship
  support to be available to help offset these costs.  Prospective
  participants are urged to indicate their interest as soon as possible
  because space is limited.

       Participants should submit the following: A letter describing their
  interest in the subject matter of the conference and a curriculum vitae.
  Include a full mailing address, electronic mail address, and FAX number.
  If scholarship support is desired then a letter of recommendation from the
  participant's advisor or department chair is also required.  Please
  indicate the amount of scholarship support desired.  Those desiring to
  present posters should submit a one-page abstract.  Centered at the top of
  the page should be the complete title, author name(s) with the presenting
  author underlined, affiliation(s), and complete mailing address.  This is
  followed by a blank space and the text of the abstract.

       One copy of all material should be sent to each of the
  summer school organizers:
  Herbert ROITBLAT                   Jean-Arcady MEYER
  Department of Psychology           Groupe de Bioinformatique
  University of Hawaii at Manoa      URA686.Ecole Normale
  2430 Campus Road                   Superieure
  Honolulu, HI 96822                 46 rue d'Ulm
  USA                                75230 Paris Cedex 05
  email: roitblat@uhunix.bitnet,     France
  roitblat@uhunix.uhcc.hawaii.       e-mail: meyer@frulm63.bitnet
  edu

       Organizing Committee and local arrangements

  CYPRES                             Groupe de BioInformatiq
  Ecole d'Art                        Ecole Normale Superieure
  Rue Emile Tavan                    46 rue d'Ulm
  13100 Aix-en-Provence              Paris Cedex 05
  Tel (33) 42 27 57 35               Tel (33) 44 32 36 23
  FAX (33) 42 27 63 99               FAX (33) 44 32 39 01


			  Tentative Program
	Comparative Approaches to Cognitive Science (CACS92)
	      * Indicates participation to be confirmed

  Introduction

  Jean-Pierre Changeux (France)  From non-human to human cognition:
     challenge and prospects

  Herbert Roitblat (USA)  Comparative approach as a tool in
     cognitive science

  Jean-Arcady Meyer (France)  Computational approaches to cognition

  Marc Bekoff (USA)  Cognitive ethology, common sense, and the
     explanation of animal behavior


  Perception and action

  Tom Bourbon (USA)  Perceptual control theory: Modelling conflict,
     cooperation and control

  George Butterworth (UK)  Factors in visual attention eliciting
     manual pointing in human infancy

  Steven Whitehead (USA)  Towards a computational theory of
     perception, action and learning


  Concept formation

  Roger Thompson (USA)  Natural concepts and self-concept in
     animals

  Lorenzo Von Fersen (Germany)  Abstract and natural concept
     formation in animals

  Keith Holyoak (USA)  Natural and artificial induction


  Internal world models

  Julie Neiworth (USA)  Internal models of space, time, and
     movement in animals

  Catherine Thinus-Blanc (France)  Spatial information processing
     in animals

  Bartlett Mel (USA)  Mechanisms and applications of associative
     learning in biological sensory and motor systems


  Motivation and  emotion

  Frederick Toates (UK)  Animal motivation and cognition

  Janet Halperin (Canada)  Cognition and emotion in animals and
     machines

  Niko Frijda (Netherlands)  Emotions in robots


  Intentionality

  Daniel Dennett (USA)  Animals and human beings as intentional
     systems: The fundamental difference

  David McFarland(UK)  Goals, no-goals and own-goals

  Peter Kugler (USA)  Informational fields and intentional action

  Colin Allen (USA)  Intentionality: natural and artificial
  Language, Communication and Cooperative Behavior

  * Peter Marler (USA)  Communication in animals

  Sue Savage-Rumbaugh (USA)  Cooperative communication by pygmy
     chimpanzees

  * Giulio Sandini (Italy)  Cellular robotic systems


  Learning

  Randy Gallistel (USA)  Time representation and conditioning in
     animals

  Jean Delacour (France)  The memory system of the mammalian brain

  Richard Sutton (USA)  Learning and planning

  Leslie Kaelbling (USA)  Reinforcement learning in robots


  Evolution

  * David Premack (USA) Evolution of cognition

  Michael Dyer (USA)  Symbol Grounding and Evolution of Primitive
     Communication

  Rik Belew (USA)  Interacting models of evolution, ontogeny and
     learning


  Conclusions

  John Anderson (USA)

  Margaret Boden (UK): Creativity in Humans and Machines

  Rodney Brooks (USA)

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End of Genetic Algorithms Digest
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