Literature DB >> 10540814

What is learned in knowledge-related categories? Evidence from typicality and feature frequency judgments.

T L Spalding1, G L Murphy.   

Abstract

When a category's features are tied together by integrative knowledge, subjects learn the category faster than when the features are not directly related. What do subjects learn about the category in such circumstances? Some research has suggested that the subjects can use the knowledge itself in performing the category learning task and, thus, do not learn the details of the category's features. Two experiments investigated this hypothesis by collecting feature frequency estimates after category learning. The results showed that integrative knowledge about a category did not decrease subjects' sensitivity to feature frequency--if anything, knowledge improved it. A third experiment found that integrative knowledge did reduce sensitivity to feature frequency in typicality ratings. The results suggest that knowledge does not inhibit the learning of detailed category information, though it may replace its use in some tasks.

Mesh:

Year:  1999        PMID: 10540814     DOI: 10.3758/bf03198538

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


  15 in total

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

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

4.  Ideals, central tendency, and frequency of instantiation as determinants of graded structure in categories.

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5.  Prior knowledge and functionally relevant features in concept learning.

Authors:  E J Wisniewski
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6.  Forgetting of verbatim information in discourse.

Authors:  G L Murphy; A M Shapiro
Journal:  Mem Cognit       Date:  1994-01

7.  Contributions of surface and conceptual information to performance on implicit and explicit memory tasks.

Authors:  F I Craik; M Moscovitch; J M McDowd
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1994-07       Impact factor: 3.051

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.  Comparison-based learning: effects of comparing instances during category learning.

Authors:  T L Spalding; B H Ross
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1994-11       Impact factor: 3.051

10.  Feature frequency in concept learning: What is counted?

Authors:  R T Kellogg
Journal:  Mem Cognit       Date:  1981-03
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  8 in total

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Authors:  Brian H Ross; Justin L Warren
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Review 3.  A knowledge-resonance (KRES) model of category learning.

Authors:  Bob Rehder; Gregory L Murphy
Journal:  Psychon Bull Rev       Date:  2003-12

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Journal:  Mem Cognit       Date:  2005-07

5.  Subtyping as a knowledge preservation strategy in category learning.

Authors:  Lewis Borr; Gregory Murphy
Journal:  Mem Cognit       Date:  2007-04

6.  Blocking in category learning.

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

7.  Ad hoc category restructuring.

Authors:  Daniel R Little; Stephan Lewandowsky; Evan Heit
Journal:  Mem Cognit       Date:  2006-10

8.  Prior knowledge and exemplar frequency.

Authors:  Harlan D Harris; Gregory L Murphy; Bob Rehder
Journal:  Mem Cognit       Date:  2008-10
  8 in total

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