Literature DB >> 19293104

How many exemplars are used? Explorations with the Rex Leopold I model.

Maarten De Schryver1, Katleen Vandist, Yves Rosseel.   

Abstract

The goal of this research is to test the hypothesis that a category is not necessarily represented by all observed exemplars, but by a reduced subset of these exemplars. To test this hypothesis, we made use of a study reported by Nosofsky, Clark, and Shin (1989), and replicated their Experiment 1 in order to gather individual-participant data. Both a full exemplar model and a reduced exemplar model were fit to the data. In general, the fits of the reduced exemplar model were superior to those of the full exemplar model. The results suggest that only a subset of exemplars may be sufficient for category representation.

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Mesh:

Year:  2009        PMID: 19293104     DOI: 10.3758/PBR.16.2.337

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  13 in total

1.  On the dangers of averaging across observers when comparing decision bound models and generalized context models of categorization.

Authors:  W T Maddox
Journal:  Percept Psychophys       Date:  1999-02

2.  Exemplar and prototype models revisited: response strategies, selective attention, and stimulus generalization.

Authors:  Robert M Nosofsky; Safa R Zaki
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2002-09       Impact factor: 3.051

3.  Distinguishing prototype-based and exemplar-based processes in dot-pattern category learning.

Authors:  J David Smith; John Paul Minda
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2002-07       Impact factor: 3.051

4.  Assessing the distinguishability of models and the informativeness of data.

Authors:  Daniel J Navarro; Mark A Pitt; In Jae Myung
Journal:  Cogn Psychol       Date:  2004-08       Impact factor: 3.468

5.  Rules and exemplars in categorization, identification, and recognition.

Authors:  R M Nosofsky; S E Clark; H J Shin
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1989-03       Impact factor: 3.051

6.  Attention, similarity, and the identification-categorization relationship.

Authors:  R M Nosofsky
Journal:  J Exp Psychol Gen       Date:  1986-03

7.  Comparing decision bound and exemplar models of categorization.

Authors:  W T Maddox; F G Ashby
Journal:  Percept Psychophys       Date:  1993-01

8.  Rule-plus-exception model of classification learning.

Authors:  R M Nosofsky; T J Palmeri; S C McKinley
Journal:  Psychol Rev       Date:  1994-01       Impact factor: 8.934

9.  Choice, similarity, and the context theory of classification.

Authors:  R M Nosofsky
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1984-01       Impact factor: 3.051

10.  Prototypes in category learning: the effects of category size, category structure, and stimulus complexity.

Authors:  J P Minda; J D Smith
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2001-05       Impact factor: 3.051

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