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Stipulating versus discovering representations

Published online by Cambridge University Press:  30 August 2019

David C. Plaut  and
James L. McClelland
David C. Plaut
Affiliation:
Departments of Psychology and Computer Science and the Center for the Neural Basis of Cognition, Mellon Institute, Carnegie Mellon University, Pittsburgh, PA 15213-2683 plaut@cmu.edujlm@cnbc.cmu.eduwww.cnbc.cmu.edu/~plautwww.cnbc.cmu.edu/people/mcclelland.html
James L. McClelland
Affiliation:
Departments of Psychology and Computer Science and the Center for the Neural Basis of Cognition, Mellon Institute, Carnegie Mellon University, Pittsburgh, PA 15213-2683 plaut@cmu.edujlm@cnbc.cmu.eduwww.cnbc.cmu.edu/~plautwww.cnbc.cmu.edu/people/mcclelland.html
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Abstract

Page's proposal to stipulate representations in which individual units correspond to meaningful entities is too unconstrained to support effective theorizing. An approach combining general computational principles with domain-specific assumptions, in which learning is used to discover representations that are effective in solving tasks, provides more insight into why cognitive and neural systems are organized the way they are.

Type
Brief Report
Information
Behavioral and Brain Sciences , Volume 23 , Issue 4 , August 2000 , pp. 489 - 491
Copyright
2000 Cambridge University Press

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