[Comp-neuro] 2nd CFP: ABiALS Workshop 2006

Giovanni Pezzulo giovanni.pezzulo at istc.cnr.it
Thu May 4 16:01:26 CEST 2006


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                  2nd  C A L L   F O R   P A P E R S

                         ABiALS Workshop 2006

           Anticipatory Behavior in Adaptive Learning Systems
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                          SEPTEMBER 30, 2006
                             ROME, ITALY
                http://www-illigal.ge.uiuc.edu/ABiALS

         Contributions to ABiALS 2006 will be published in a
    re-reviewed, extended post-workshop proceedings volume in the
                  Lecture Notes in Computer Science /
      Artificial Intelligence (LNAI) series of Springer Verlag.

                     ABiALS 2006 will be held during
                the ninth international conference on the
                SIMULATION of ADAPTIVE BEHAVIOR (SAB 2006)
                         http://www.sab06.org


ABiALS is an interdisciplinary workshop investigating the influence of
anticipations on behavior and learning. ABiALS is designed to help
investigate how anticipations can influence, initiate, and guide behavior
and learning as well as how anticipatory influences can be implemented in an
adaptive learning system.

Submission deadline:   Wednesday, 15. JUNE 2006

Anticipatory behavior is a mechanism, or a behavior, that does not only
depend on the past and present but also on predictions, expectations, or
beliefs about the future.
___________________________________________________________________________

OBJECTIVES:

After two previous successful gatherings during SAB 2002, resulting in the
Springer-Verlag LNCS 2684 State-of-the-Art survey named after the workshop,
and SAB2004, ABiALS 2006 will continue to explore anticipatory influences on
behavior and learning.

The aim of ABiALS 2006 is to join researchers in their understanding and
development of anticipatory mechanisms in adaptive behavior. It is aimed for
an interdisciplinary gathering that combines the expertise of researchers
from various disciplines including neuroscience, cognitive psychology,
machine learning, artificial intelligence, control, and vision research to
shed further light on the concept of anticipation. Essentially, it will be
discussed how knowledge about the future can influence actual behavioral
mechanisms, including influences on attention, action decision making and
control, as well as (behavioral and model) learning.

___________________________________________________________________________

KEY INTERESTS:

Anticipatory mechanisms for model learning
* Adaptive, predictive model learning
* Adaptive, predictive filtering
* Anticipatory attention
* Surprise for model learning
* Hierarchical, predictive model architectures
* Timing in predictive models

Model-predictive, adaptive control architectures
* Inverse models and goal-oriented control
* Hierarchical structures in adaptive, model-predictive control
* Surprise in control
* Delayed feedback, forward models, and multiply timed control

Anticipatory, adaptive systems / agents
* Integration of anticipatory adaptive processes in adaptive systems
* Anticipatory decision making
* Anticipatory behavior in multiagent systems
* Interactions of anticipations, motivations, and emotions
* Anticipations in BDI architectures
* Curiosity and epistemic actions

Distinctions of anticipatory mechanisms:
* Benefits and drawbacks of different anticipatory mechanisms
* Distinction to reactive mechanisms
* Emergence of anticipatory mechanisms in evolution
* Anticipatory mechanisms in constructivist, interactive frameworks

Anticipatory mechanisms in animals and humans
* Behavioral and cognitive anticipatory mechanisms in animals and humans
* Anticipatory mechanisms in neuroscience
* Anticipatory mechanisms in cognitive/experimental psychology

___________________________________________________________________________

SUBMISSION:

Submissions for the workshop should address one of the interests listed
above. The workshop is not limited to one particular type of anticipatory
learning system or a particular representation of anticipations.

The workshop will be generally targeted towards short presentations and
extended discussions. The advantages and disadvantages of different
anticipatory mechanisms and representations will be discussed in detail.
Several discussion sessions on the topics in question will put the
presentations into a broader perspective.

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 have a maximal length of ten pages in
10pt, one-column format. Please use the LNCS Springer-Verlag style as
specified at http://www.springeronline.com/comp/lncs/authors.html (LATEX
utilities can be found in the file llncs2e.zip). Papers will be reviewed for
acceptance by the program committee and the organizers.

Submission deadline is the 15th of JUNE 2006.

Contributions to ABiALS 2006 will be published in an extended post-workshop
proceedings volume in the Springer Lecture Notes in Computer Science /
Artificial Intelligence series (LNAI) (as was done for ABiALS 2002). For
this, all papers will undergo a second review process. The proceedings will
be further endowed with invited contributions by key researchers in the
area.
For further up-to-date information please refer to
http://www-illigal.ge.uiuc.edu/ABiALS/

___________________________________________________________________________
___________________________________________________________________________

IMPORTANT DATES:

15. June 2006:    Deadline for Submissions

30. September 2006: ABiALS Workshop 2006
___________________________________________________________________________

PROGRAM COMMITTEE:

Christian Balkenius
Cognitive Science, Lund University, Sweden

Edoardo Datteri
Department of Philosophy, University of Pisa, Italy

Pier Luca Lanzi
Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy

Ralf Moeller
Computer Engineering Group, Faculty of Technology, Bielefeld University,
Germany

Tony Prescott
Department of Psychology, The University of Sheffield, UK

Jesse Reichler
Department of Computer Science, University of Illinois at Urbana-Champaign,
IL

Alexander Riegler
CLEA, Vrije Universiteit Brussels, Belgium

Deb Roy
Cognitive Machines Group, MIT Media Laboratory, Cambridge, MA

Samarth Swarup
Department of Computer Science, University of Illinois at Urbana-Champaign,
IL

Stewart W. Wilson
Prediction Dynamics, Concord, MA
___________________________________________________________________________

ORGANIZERS:

Martin V. Butz,
Department of Cognitive Psychology
University of Wuerzburg, Germany
Butz[a at t]psychologie.uni-wuerzburg.de
http://www-illigal.ge.uiuc.edu/~butz

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

Gianluca Baldassarre
Istituto di Scienze e Tecnologie della Cognizione
Consiglio Nazionale delle Ricerche (ISTC-CNR)
Roma, Italy
gianluca.baldassarre[a at t]istc.cnr.it
http://gral.istc.cnr.it/baldassarre/

Giovanni Pezzulo
Istituto di Scienze e Tecnologie della Cognizione
Consiglio Nazionale delle Ricerche (ISTC-CNR)
Roma, Italy
giovanni.pezzulo[a at t]istc.cnr.it
http://www.istc.cnr.it/createhtml.php?nbr=1




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