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Article de revue:
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ID no. (ISBN etc.): 0278-7393
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Clé de citation BibTeX: Yang2004
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Yang, L.-X., & Lewandowsky, S. (2004). Knowledge partitioning in categorization: Constraints on exemplar models. Journal of experimental psychology: Learning, Memory, and Cognition, 30(5), p. p1045–1064.
Ajoutée par: Sterenn Audo 2008-01-14 11:46:52 Dernièrement modifiée par: Sterenn Audo 2008-01-14 11:48:22
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Catégories: Catégorisation, Full text
Descripteurs: categorization strategies, category membership, Classification (Cognitive Process), complex perceptual categorization, exemplar model, Human Information Storage, knowledge partitioning, Models, Stimulus Similarity, unified model
Auteurs: Lewandowsky, Yang
Collection: Journal of experimental psychology: Learning, Memory, and Cognition
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Nombre de vues: 340
Popularité: 30.85%
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Résumé
The authors present 2 experiments that establish the presence of knowledge partitioning in perceptual categorization. Many participants learned to rely on a context cue, which did not predict category membership but identified partial boundaries, to gate independent partial categorization strategies. When participants partitioned their knowledge, a strategy used in 1 context was unaffected by knowledge demonstrably present in other contexts. An exemplar model, attentional learning covering map, was shown to be unable to accommodate knowledge partitioning. Instead, a mixture-of-experts model, attention to rules and instances in a unified model (ATRIUM), could handle the results. The success of ATRIUM resulted from its assumption that people memorize not only exemplars but also the way in which they are to be classified. (PsycINFO Database Record (c) 2006 APA, all rights reserved)(from the journal abstract)
Ajoutée par: Sterenn Audo
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Ajoutée par: Sterenn Audo
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