🚀 go-pugleaf

From: birnbaum@FIDO.ILS.NWU.EDU (Lawrence Birnbaum)
To: mod-ki@unido.informatik.uni-dortmund.de
Date: 8 Jan 91 20:55:01 GMT
Subject: <mod-ki 0623> ML91 Final Call for Papers (Addendum)
Keywords: Workshops, Maschinelles Lernen

mod-ki message 0623
************************************************************************
                         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

------------------------------------------------------------------------
                  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.
************************************************************************