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Rules-plus-exception tasks: A problem for exemplar models?

delete2007-08-01
delete21
delete
OA
AI
P
Pedro M. Rodrigues *
J
Jaap M. J. Murre
DOI：10.3758/BF03196814delete
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Abstract

Abstract

En 中文
Erickson and Kruschke (2002b) have shown that human subjects generalize category knowledge in a rule-like fashion when exposed to a rule-plus-exception categorization task. This result has remained a challenge to exemplar models of category learning. We show that these models can account for such performance, if they are augmented with exemplar-specific specificity or exemplar-specific attention. This result, however, is only achieved if the choice rule that converts evidence for competing categories into probabilities is sensitive to small differences between evidence values close to 0. Exemplar-specific attention provided the best overall approximation of the data. Exemplar-specific specificity provided a slightly worse approximation, but it predicted better the rule-like generalization pattern observed.
Keywords:
DECISION BOUND MODELS
RECOGNITION MEMORY
PERCEPTUAL CATEGORIZATION
IDENTIFICATION
SIMILARITY
ATTENTION
CLASSIFICATION
PROTOTYPE
STIMULI
TESTS
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Journal

P
Psychonomic Bulletin and Review
IF:
3
Papers:
4.5K
Citations:
1.5W

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