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Classification and Cognition$
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W. K. Estes

Print publication date: 1994

Print ISBN-13: 9780195073355

Published to Oxford Scholarship Online: January 2008

DOI: 10.1093/acprof:oso/9780195073355.001.0001

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Models for category learning

Models for category learning

Chapter:
(p.59) 3. Models for category learning
Source:
Classification and Cognition
Author(s):

W. K. Estes

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195073355.003.0003

This chapter begins with a discussion of the exemplar-similarity model, which is useful for making predictions about categorization assuming that the current state of an individual's memory is known, or that plausible assumptions about it can be made. However, this model lacks the machinery to address the dynamics of learning. Augmentations of the core model, categorization and identification, similarity and cognitive distance, status of the exemplar-similarity model, and network-based learning models are described.

Keywords:   exemplar-similarity model, categorization, identification, core model, network-based learning models

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