CFP: Adaptive Behavior in Anticipatory Learning Systems Workshop (ABiALS 2002)

[Martin Butz]

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                  C A L L   F O R   P A P E R S

                      ABiALS Workshop 2002
        Adaptive Behavior in Anticipatory Learning Systems
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                       August 11., 2002
                     Edinburgh, Scotland
             http://www-illigal.ge.uiuc.edu/ABiALS

     to be held during the seventh international conference on
             Simulation of Adaptive Behavior (SAB'02)
                  http://www.isab.org.uk/sab02/


This workshops aims for an interdisciplinary gathering of people interested
in how anticipations can guide behavior as well as how an anticipatory
influence can be implemented in an adaptive behavior system. Particularly,
we are looking for adaptive behavior systems that incorporate some online
anticipation mechanisms.


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Aim and Objectives:

Most of the research over the last years in artificial adaptive behavior with
respect to model learning and anticipatory behavior has focused on the model
learning side. Research is particularly engaged in online generalized model
learning. Up to now, though, exploitation of the model has been done mainly
to show that exploitation is possible or that an appropriate model exists in
the first place. Only very few applications exist that show the utility of
the model for the simulation of anticipatory processes and a consequent
adaptive behavior.

The aim of this workshop is to bring together researchers that are interested
in anticipatory processes and essentially anticipatory adaptive behavior. It
is aimed for an interdisciplinary gathering that brings together researchers
from distinct areas so as to discuss the different guises that takes
anticipation in these different perspectives. But the workshop intends to
focus on anticipations in the form of low-level computational processes rather
than high-level processes such as explicit planning.


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Essential questions:

*   How can anticipations influence the adaptive behavior of an artificial
    learning system?
*   How can anticipatory adaptive behavior be implemented in an artificial
    learning system?
*   How does an incomplete model influence anticipatory behavior?
*   How do anticipations guide further model learning?
*   How do anticipations control attention?
*   Can anticipations be used for the detection of special environmental
    properties?
*   What are the benefits of anticipations for adaptive behavior?
*   What is the trade-off between simple bottom-up stimulus-response driven
    behavior and more top-down anticipatory driven behavior?
*   In what respect does anticipation mediate between low-level environmental
    processing and more complex cognitive simulation?
*   What role do anticipations play for the implementation of motivations and
    emotions?


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Submission:

Submissions for the workshop should address or at least be related to one of
the questions listed above. However, other approaches to anticipatory adaptive
behavior are encouraged as well. The workshop is not limited to one particular
type of anticipatory learning system or a particular representation of
anticipations. However, the learning system should learn its anticipatory
representation online rather than being provided by a model of the world
beforehand. Nonetheless, background knowledge of a typical environment can
be incorporated (and is probably inevitably embodied in the provided sensors,
actions, and the coding in any adaptive system).

Since this is a full day workshop, we hope to be able to provide more time for
presentations and discussions. In that way, the advantages and disadvantages of
the different learning systems should become clearer. It is also aimed for
several discussion sessions in which anticipatory influences will be discussed
in a broader sense.

Papers will be reviewed for acceptance by the program committee and the
organizers. Papers should be submitted electronically to one of the organizers
via email in pdf or ps format. Electronic submission is strongly encouraged.
If you cannot submit your contribution electronically, please contact one of
the organizers. Submitted papers should be between 10 and 20 pages in 10pt,
one-column format. The LNCS Springer-Verlag style is preferred (see
http://www.springer.de/comp/lncs/authors.html). Submission deadline is
the 31st of March 2002.

Dependent on the quality and number of contributions we hope to be able to
publish Post-Workshop proceedings as either a Springer LNAI volume or a special
issue of a journal. For more information please refer to
http://www-illigal.ge.uiuc.edu/ABiALS/


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Important Dates:

31.March 2002:    Deadline for Submissions
15.May 2002:      Notification of Acceptance
15.June 2002:     Camera Ready Version for SAB Workshop Proceedings
11.August 2002:   Workshop ABiALS


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Program Committee:

Emmanuel Dauc
Facult des sciences du sport
Universit de la Mditerranne
Marseille, France

Ralf Moeller
Cognitive Robotics
Max Planck Institute for Psychological Research
Munich, Germany

Wolfgang Stolzmann
DaimlerChrysler AG
Berlin, Germany

Jun Tani
Lab. for Behavior and Dynamic Cognition
Brain Science Institute, RIKEN
2-1 Hirosawa, Wako-shi, Saitama, 351-0198 Japan

Stewart W. Wilson
President
Prediction Dynamics
USA


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Organizers:

Martin V. Butz,
Illinois Genetic Algorithms Laboratory (IlliGAL),
Universtiy of Illinois at Urbana-Champaign, Illinois, USA
also: Department of Cognitive Psychology
University of Wuerzburg, Germany
butz at illigal.ge.uiuc.edu
http://www-illigal.ge.uiuc.edu/~butz

Pierre Grard,
AnimatLab,
University Paris VI,
Paris, France
pierre.gerard at lip6.fr
http://animatlab.lip6.fr/Gerard

Olivier Sigaud
AnimatLab,
University Paris VI,
Paris, France
olivier.sigaud at lip6.fr
http://animatlab.lip6.fr/Sigaud