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Exemplar-based accounts of relations between classification, recognition, and typicality (1988)
| Venue: | Journal of Experimentul Psychology: Learning, Memory, and Cognition |
| Citations: | 179 - 15 self |
BibTeX
@ARTICLE{Nosofsky88exemplar-basedaccounts,
author = {Robert M. Nosofsky},
title = {Exemplar-based accounts of relations between classification, recognition, and typicality},
journal = {Journal of Experimentul Psychology: Learning, Memory, and Cognition},
year = {1988},
pages = {700--708}
}
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Abstract
Previously published sets of classification and old-new recognition memory data are reanalyzed within the framework of an exemplar-based generalization model. The key assumption in the model is that, whereas classification decisions are based on the similarity of a probe to exemplars of a target category relative to exemplars of contrast categories, recognition decisions are based on overall summed similarity of a probe to all exemplars. The summed-similarity decision rule is shown to be consistent with a wide variety of recognition memory data obtained in classification learning situations and may provide a unified approach to understanding relations between categorization and recognition. Recently, there has been an upsurge of interest among categorization researchers in exploring relations between classification learning and old-new recognition memory. This interest has been fueled by the exemplar view of category representation, which holds that people base classification decisions on similarity comparisons with stored exemplars (Hintzman, 1986b; Medin & Schaffer, 1978; Nosofsky, 1986).
Keyphrases
exemplar-based account key assumption recognition decision medin schaffer old-new recognition memory data target category contrast category categorization researcher classification learning old-new recognition memory wide variety overall summed similarity unified approach stored exemplar classification decision summed-similarity decision rule exemplar view classification learning situation category representation whereas classification decision understanding relation exemplar-based generalization model similarity comparison recognition memory data
