No subject

[Tom Shultz]

Subject: Abstract
Date: 19 May '92

Please do not forward this announcement to other boards.  Thank you.

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The following paper has been placed in the Neuroprose archive at 
Ohio State University: 

An Investigation of Balance Scale Success

William C. Schmidt and Thomas R. Shultz
Department of Psychology
McGill University

Abstract

The success of a connectionist model of cognitive development on 
the balance scale task is due to manipulations which impede 
convergence of the back-propagation learning algorithm. The model 
was trained at different levels of a biased training environment 
with exposure to a varied number of training instances. The effects 
of weight updating method and modifying the network topology were 
also examined. In all cases in which these manipulations caused a 
decrease in convergence rate, there was an increase in the 
proportion of psychologically realistic runs. We conclude that 
incremental connectionist learning is not sufficient for producing 
psychologically successful connectionist balance scale models, but 
must be accompanied by a slowing of convergence.
 

This paper will be presented at the Fourteenth Annual Conference of 
the Cognitive Science Society, Indiana University, 1992. 


Instructions for ftp retrieval of this paper are given below.  If you 
are unable to retrieve and print it and therefore wish to receive a 
hardcopy, please send e-mail to schmidt at lima.psych.mcgill.ca

Please do not reply directly to this message.

FTP INSTRUCTIONS:

unix> ftp archive.cis.ohio-state.edu (or 128.146.8.52)
    Name: anonymous
    Password: <your e-mail address>
    ftp> cd pub/neuroprose
    ftp> binary
    ftp> get schmidt.balance.ps.Z 
    ftp> quit
unix> uncompress schmidt.balance.ps.Z 


Tom Shultz
Department of Psychology
McGill University
1205 Penfield Avenue
Montreal, Quebec H3A 1B1
Canada

shultz at psych.mcgill.ca