Machine Learning List Vol. 3 No. 01

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Machine Learning List

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		 Machine Learning List: Vol. 3 No. 1 
			 Tuesday,  Jan 15, 1991 

Contents: 
	ML Workshop 

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Date: Tue, 8 Jan 91 14:54:23 CST 
From: Lawrence Birnbaum <birnbaum@fido.ils.nwu.EDU> 
Subject: Machine learning workshop: Addendum to call for papers 

 
                         ADDENDUM TO CALL FOR PAPERS 
              EIGHTH INTERNATIONAL WORKSHOP ON MACHINE LEARNING 
                           NORTHWESTERN UNIVERSITY 
                              EVANSTON, ILLINOIS 
                               JUNE 27-29, 1991 

 
We wish to clarify the position of ML91 with respect to the issue of multiple 
publication.  In accordance with the consensus expressed at the business 
meeting at ML90 in Austin, ML91 is considered by its organizers to be a 
specialized workshop, and thus papers published in its proceedings may overlap 
substantially with papers published elsewhere, for instance IJCAI or AAAI. 
The sole exception is with regard to publication in future Machine Learning 
Conferences.  Authors who are concerned by this constraint will be given the 
option of foregoing publication of their presentation in the ML91 Proceedings. 

The call for papers contained information concerning seven of the eight 
individual workshops that will make up ML91.  Information concerning the final 
workshop follows. 

        Larry Birnbaum 
        Gregg Collins 

        Northwestern University 
        The Institute for the Learning Sciences 
        1890 Maple Avenue 
        Evanston, IL 60201 
        (708) 491-3500 

[Now that the issue of submission to multiple conferences is settled, do we 
need a policy for an author submitting the same paper to two (or more)  
workshops at MLW?  How about a single author submitting different papers 
to different workshops?  Clearly, an author cannot fully participate 
in both -MP]. 
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                    COMPUTATIONAL MODELS OF HUMAN LEARNING 

This workshop will foster interaction between researchers concerned with 
psychological models of learning and those concerned with learning systems 
developed from a machine learning perspective. 

We see several ways in which simulations intended to model human learning and 
algorithms intended to optimize machine learning may be mutually relevant. 
For example, the way humans learn and the optimal method may turn out to be 
the same for some tasks.  On the other hand, the relation may be more 
indirect: modeling human behavior may provide task definitions or constraints 
that are helpful in developing machine learning algorithms; or machine 
learning algorithms designed for efficiency may mimic human behavior in 
interesting ways. 

We invite papers that report on learning algorithms that model or are 
motivated by learning in humans or animals. We encourage submissions that 
address any of a variety of learning tasks, including category learning, skill 
acquisition, learning to plan, and analogical reasoning.  In addition, we hope 
to draw work from a variety of theoretical approaches to learning, including 
explanation-based learning, empirical learning, connectionist approaches, and 
genetic algorithims. 

In all cases, authors should explicitly identify 1) in what ways the system's 
behavior models human (or animal) behavior, 2) what principles in the 
algorithm are responsible for this, and 3) the methods for comparing the 
system's behavior to human behavior and for evaluating the algorithm.  A 
variety of methods have been proposed for computational psychological models; 
we hope the workshop will lead to a clearer understanding of their relative 
merits.  Progress reports on research projects still in development are 
appropriate to submit, although more weight will be given to projects that 
have been implemented and evaluated.  Integrative papers providing an analysis 
of multiple systems or several key issues are also invited. 

WORKSHOP COMMITTEE 

Dorrit Billman (Georgia Tech) 
Randolph Jones (Univ. of Pittsburgh) 
Michael Pazzani (Univ. of California, Irvine) 
Jordan Pollack (Ohio State Univ.) 
Paul Rosenbloom (USC/ISI) 
Jeff Shrager (Xerox PARC) 
Richard Sutton (GTE) 

SUBMISSION DETAILS 

Papers should be approximately 4000 words in length.  Authors should submit 
seven copies, by March 1, 1991, to: 

Dorrit Billman 
School of Psychology 
Georgia Institute of Technology 
Atlanta, GA 30332 
phone (404) 894-2349 

Formats and deadlines for camera-ready copy will be communicated upon 
acceptance. 

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END of ML-LIST 3.1