UNSPECIFIED (1999) Selecting knowledge for category learning. In: 21st Annual Conference of the Cognitive-Science-Society, AUG 19-21, 1999, VANCOUVER, CANADA.

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Abstract

We present a category learning experiment in which subjects faced the knowledge selection problem, i.e., they needed to use their observations to determine which prior knowledge would be useful for learning. The issue of putting prior knowledge into neural network models is reviewed, and we present a new model which addresses the knowledge selection problem. This model gives a good account of the experimental results.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	P Language and Literature B Philosophy. Psychology. Religion > BF Psychology
Journal or Publication Title:	PROCEEDINGS OF THE TWENTY FIRST ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY
Publisher:	LAWRENCE ERLBAUM ASSOC PUBL
ISBN:	0-8058-3581-4
Editor:	Hahn, M and Stoness, SC
Date:	1999
Number of Pages:	6
Page Range:	pp. 218-223
Publication Status:	Published
Title of Event:	21st Annual Conference of the Cognitive-Science-Society
Location of Event:	VANCOUVER, CANADA
Date(s) of Event:	AUG 19-21, 1999
URI:	http://wrap.warwick.ac.uk/id/eprint/11444

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