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A more rational model of categorization
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Sanborn, Adam N., Griffiths, Thomas L. and Navarro, Daniel J. (2006) A more rational model of categorization. In: Proceedings of the 28th annual conference of the Cognitive Science Society. Mahwah, N.J.: Lawrence Erlbaum, pp. 726-731. ISBN 9780976831822
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Official URL: http://www.worldcat.org/oclc/253917485
Abstract
The rational model of categorization (RMC; Anderson,
1990) assumes that categories are learned by cluster-
ing similar stimuli together using Bayesian inference.
As computing the posterior distribution over all assign-
ments of stimuli to clusters is intractable, an approxi-
mation algorithm is used. The original algorithm used
in the RMC was an incremental procedure that had no
guarantees for the quality of the resulting approxima-
tion. Drawing on connections between the RMC and
models used in nonparametric Bayesian density esti-
mation, we present two alternative approximation al-
gorithms that are asymptotically correct. Using these
algorithms allows the e®ects of the assumptions of the
RMC and the particular inference algorithm to be ex-
plored separately. We look at how the choice of inference
algorithm changes the predictions of the model.
| Item Type: | Book Item | ||||
|---|---|---|---|---|---|
| Subjects: | B Philosophy. Psychology. Religion > BF Psychology | ||||
| Divisions: | Faculty of Science > Psychology | ||||
| Library of Congress Subject Headings (LCSH): | Categorization (Psychology), Cognitive science, Cognition | ||||
| Publisher: | Lawrence Erlbaum | ||||
| Place of Publication: | Mahwah, N.J. | ||||
| ISBN: | 9780976831822 | ||||
| Book Title: | Proceedings of the 28th annual conference of the Cognitive Science Society | ||||
| Official Date: | 2006 | ||||
| Dates: |
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| Page Range: | pp. 726-731 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | CogSci 2006: 28th Annual Meeting of the Cognitive Science Society | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Vancouver, Canada | ||||
| Date(s) of Event: | 26-29 Jul 2006 | ||||
| Related URLs: |
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