Literature DB >> 17671607

Subtyping as a knowledge preservation strategy in category learning.

Lewis Borr1, Gregory Murphy.   

Abstract

Subtyping occurs when atypical examples are excluded from consideration in judging a category. In three experiments, we investigated whether subtyping can influence category learning. In each experiment, participants learned about a category where most, but not all, of the exemplars corresponded to a theme. The category structure included a subtyping dimension, which had one value for theme-congruent exemplars and another for exception exemplars. On the basis of work by Hayes, Foster, and Gadd (2003) and studies on social stereotyping, we hypothesized that this subtyping dimension would enable the participants to discount the exception exemplars, thereby facilitating category learning. Contrary to expectations, we did not find a subtyping effect with traditional category-learning procedures. By introducing the theme prior to learning, however, we observed increased effects on typicality ratings (Experiment 1) and facilitated learning of the category (Experiment 2). Experiment 3 provided direct evidence that introducing the theme prior to learning enhanced the subtyping effect and provided support for a knowledge-gating explanation of subtyping. We conclude that subtyping effects are strongest on already-learned concepts and that subtyping is unlikely to aid in the learning of new concepts, except in particular circumstances.

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Year:  2007        PMID: 17671607      PMCID: PMC1936983          DOI: 10.3758/bf03193283

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  26 in total

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7.  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

8.  The locus of knowledge effects in concept learning.

Authors:  G L Murphy; P D Allopenna
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1994-07       Impact factor: 3.051

9.  Population of linear experts: knowledge partitioning and function learning.

Authors:  Michael L Kalish; Stephan Lewandowsky; John K Kruschke
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10.  Base rates in category learning.

Authors:  J K Kruschke
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1996-01       Impact factor: 3.051

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  1 in total

1.  Blocking in category learning.

Authors:  Lewis Bott; Aaron B Hoffman; Gregory L Murphy
Journal:  J Exp Psychol Gen       Date:  2007-11
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