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Unsupervised categorization and category learning
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UNSPECIFIED (2005) Unsupervised categorization and category learning. QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY SECTION A-HUMAN EXPERIMENTAL PSYCHOLOGY, 58 (4). pp. 733-752. doi:10.1080/02724980443000322 ISSN 0272-4987.
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Official URL: http://dx.doi.org/10.1080/02724980443000322
Abstract
When people categorize a set of items in a certain way they often change their perceptions for these items so that they become more compatible with the learned categorization. In two experiments we examined whether such changes arc extensive enough to change the unsupervised categorization for the items-that is, the categorization of the items that is considered more intuitive or natural without any learning. In Experiment I we directly employed an unsupervised categorization task; in Experiment 2 we collected similarity ratings for the items and interred unsupervised categorizations using Pothos and Chater's (2002) model of unsupervised categorization. The unsupervised categorization for the items changed to resemble more the learned one when this was specified by the suppression of a stimulus dimension (both experiments), but less so when it was almost specified by the suppression of a stimulus dimension (Experiment 1, nonsignificant trend in Experiment 2). By contrast, no changes in the unsupervised categorization were observed when participants were taught a classification that was specified by a more fine tuning of the relative salience of the two dimensions.
Item Type: | Journal Article | ||||
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Subjects: | B Philosophy. Psychology. Religion > BF Psychology | ||||
Journal or Publication Title: | QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY SECTION A-HUMAN EXPERIMENTAL PSYCHOLOGY | ||||
Publisher: | PSYCHOLOGY PRESS | ||||
ISSN: | 0272-4987 | ||||
Official Date: | May 2005 | ||||
Dates: |
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Volume: | 58 | ||||
Number: | 4 | ||||
Number of Pages: | 20 | ||||
Page Range: | pp. 733-752 | ||||
DOI: | 10.1080/02724980443000322 | ||||
Publication Status: | Published |
Data sourced from Thomson Reuters' Web of Knowledge
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