Literature DB >> 11504007

An inverse base rate effect with continuously valued stimuli.

M L Kalish1.   

Abstract

It is well known that people do not always make normative use of information about relative frequencies of categories when making categorical judgments. The "inverse base rate" effect (Medin & Edelson, 1988) is a typical example of this: Subjects violate normative reasoning principles by assigning certain ambiguous stimuli as belonging to the less frequent of two categories, rather than to the more common category. This effect has been explained as being due to the shifting of attention from shared stimulus features to distinctive features during learning. When stimuli are defined by values along continuous dimensions, rather than by the presence and absence of features, then attention could shift between dimensions or between values, or both. In three experiments, base rate differences were used to determine the way in which attention is shifted during learning about stimuli with continuously valued dimensions. Simulation modeling shows that the results are consistent with the movement of attention both between and within stimulus dimensions.

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Year:  2001        PMID: 11504007     DOI: 10.3758/bf03200460

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


  15 in total

1.  Knowledge partitioning: context-dependent use of expertise.

Authors:  S Lewandowsky; K Kirsner
Journal:  Mem Cognit       Date:  2000-03

2.  Competing strategies in categorization: expediency and resistance to knowledge restructuring.

Authors:  S Lewandowsky; M Kalish; T L Griffiths
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2000-11       Impact factor: 3.051

3.  Combining exemplar-based category representations and connectionist learning rules.

Authors:  R M Nosofsky; J K Kruschke; S C McKinley
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1992-03       Impact factor: 3.051

4.  ALCOVE: an exemplar-based connectionist model of category learning.

Authors:  J K Kruschke
Journal:  Psychol Rev       Date:  1992-01       Impact factor: 8.934

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

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

6.  Family resemblance, conceptual cohesiveness, and category construction.

Authors:  D L Medin; W D Wattenmaker; S E Hampson
Journal:  Cogn Psychol       Date:  1987-04       Impact factor: 3.468

7.  Problem structure and the use of base-rate information from experience.

Authors:  D L Medin; S M Edelson
Journal:  J Exp Psychol Gen       Date:  1988-03

8.  Correlated symptoms and simulated medical classification.

Authors:  D L Medin; M W Altom; S M Edelson; D Freko
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1982-01       Impact factor: 3.051

9.  The role of attention shifts in the categorization of continuous dimensioned stimuli.

Authors:  M L Kalish; J K Kruschke
Journal:  Psychol Res       Date:  2000

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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  4 in total

1.  Featural selective attention, exemplar representation, and the inverse base-rate effect.

Authors:  Mark K Johansen; Nathalie Fouquet; David R Shanks
Journal:  Psychon Bull Rev       Date:  2010-10

2.  Effects of outcome and trial frequency on the inverse base-rate effect.

Authors:  Hilary J Don; Evan J Livesey
Journal:  Mem Cognit       Date:  2017-04

3.  Paradoxical effects of base rates and representation in category learning.

Authors:  Mark K Johansen; Nathalie Fouquet; David R Shanks
Journal:  Mem Cognit       Date:  2007-09

4.  No evidence for rule-based processing in the inverse base-rate effect.

Authors:  Koen Lamberts; Christopher Kent
Journal:  Mem Cognit       Date:  2007-12
  4 in total

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