AAAI-96 Workshop: Computational Cognitive Modeling

Charles X. Ling ling at cs.hku.hk
Tue Feb 6 22:32:37 EST 1996


We are looking forward to a productive meeting. We seek for a balance
between different models (such as connectionists and symbolic models).
Submissions from cognitive scientists, AI researchers, and psychologists
are warmly welcome. 

Charles Ling
************************

     Computational Cognitive Modeling: Source of the Power   

                     AAAI-96 Workshop 

(During AAAI'96, IAAI 96 and KDD 96. August 4-8, 1996. Portland, Oregon)

URL: http://www.cs.hku.hk/~ling for updated information.

             CALL  FOR  PAPERS  AND  PARTICIPATION

Aims of the Workshop
====================

Computational models for various cognitive tasks have been 
extensively studied by cognitive scientists, AI researchers, 
and psychologists. These tasks include

-- language acquisition (learning past tense, word reading and naming,
   learning grammar, etc.)
-- cognitive skill acquisition (subconscious learning, learning sequences)
-- cognitive development (the balance scale and learning arithmetic)
-- conceptual development; reasoning (commonsense, analogical)

We attempt to bring researchers from different backgrounds 
together, and to examine how and why computational models 
(connectionist, symbolic, memory-based, or others) are successful in 
terms of the source of power. The possible sources of power include:

-- Representation of the task;
-- General properties of the learning algorithm; 
-- Data sampling/selection;
-- Parameters of the learning algorithms.

The workshop will focus on, but not be limited to, the following
topics, all of which should be discussed in relation to the 
source of power:

-- Proper criteria for judging success or failure of a model.
-- Methods for recognizing the source of power.
-- Analyses of the success or failure of existing models.
-- Presentation of new cognitive models. 

We hope that our workshop will shed new light on these questions, 
stimulate lively discussions on the topics, as well as generate new 
research ideas.


Format of the Workshop:
======================

The Workshop will consist of invited talks, presentations, 
and a poster session. All accepted papers (presentation or 
poster) will be included in the Workshop Working Notes.
A pannel will summarize and debate at the end of the Workshop.

Submission information:
======================

Submissions from AI researchers, cognitive scientists and psychologists
are welcome. We encourage submissions from people of divergent backgrounds. 

Potential presenters should submit a paper (maximum 12 pages total, 
12 point font). We strongly encourage email submissions of 
text/postscript files; or you may also send 4 paper copies to 
one workshop co-chair:

Charles Ling (co-chair)            Ron Sun (co-chair)
Department of Computer Science     Department of Computer Science
University of Hong Kong            University of Alabama
Hong Kong                          Tuscaloosa, AL 35487 
ling at cs.hku.hk                     rsun at cs.ua.edu 
(On leave from University 
 of Western Ontario)

Researchers interested in attending Workshop only should send
a short description of interests to one co-chair by deadline.

Deadline for submission:                     March 18, 1996.
Notification of acceptance:                  April 15, 1996.
Submission of final versions:                May 13, 1996.

Program Committee: 
=================
  Charles Ling (co-chair), University of Hong Kong, ling at cs.hku.hk
  Ron Sun (co-chair), University of Alabama, rsun at cs.ua.edu 

  Pat Langley, Stanford University, langley at flamingo.Stanford.EDU
  Mike Pazzani, UC Irvine, pazzani at super-pan.ICS.UCI.EDU
  Tom Shultz, McGill University, shultz at psych.mcgill.ca
  Paul Thagard, Univ. of Waterloo, pthagard at watarts.uwaterloo.ca
  Kurt VanLehn, Univ. of Pittsburgh, vanlehn+ at pitt.edu


Invited Speakers (NEW):
======================

We are glad to have the following confirmed invited speakers to present 
their work at the Workshop:

  Jeff Elman
  Mike Pazzani
  Aaron Sloman 
  Denis Mareschal 


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