Literature DB >> 12026950

Single-system models and interference in category learning: commentary on Waldron and Ashby (2001).

Robert M Nosofsky1, John K Kruschke.   

Abstract

In a recent article, Waldron and Ashby (2001) observed that performing a concurrent task caused greater interference in learning a simple one-dimensional categorization rule than in learning a complex three-dimensional one. They argued that this result was incompatible with all existing single-system models of category learning but was as predicted by the multiple-system COVIS model (Ashby, Alfonso-Reese, Turken, & Waldron, 1998). In contrast to Waldron and Ashby's argument, we demonstrate that the single-system ALCOVE model (Kruschke, 1992) naturally predicts the result by assuming that its selective-attention learning process is disrupted by the concurrent task.

Mesh:

Year:  2002        PMID: 12026950     DOI: 10.3758/bf03196274

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


  11 in total

1.  Exemplar-based accounts of "multiple-system" phenomena in perceptual categorization.

Authors:  R M Nosofsky; M K Johansen
Journal:  Psychon Bull Rev       Date:  2000-09

2.  The effects of concurrent task interference on category learning: evidence for multiple category learning systems.

Authors:  E M Waldron; F G Ashby
Journal:  Psychon Bull Rev       Date:  2001-03

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

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

4.  Learning to classify integral-dimension stimuli.

Authors:  R M Nosofsky; T J Palmeri
Journal:  Psychon Bull Rev       Date:  1996-06

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

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

6.  Attention and learning processes in the identification and categorization of integral stimuli.

Authors:  R M Nosofsky
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1987-01       Impact factor: 3.051

7.  Comparing models of rule-based classification learning: a replication and extension of Shepard, Hovland, and Jenkins (1961).

Authors:  R M Nosofsky; M A Gluck; T J Palmeri; S C McKinley; P Glauthier
Journal:  Mem Cognit       Date:  1994-05

8.  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

9.  Rules and exemplars in category learning.

Authors:  M A Erickson; J K Kruschke
Journal:  J Exp Psychol Gen       Date:  1998-06

10.  A neuropsychological theory of multiple systems in category learning.

Authors:  F G Ashby; L A Alfonso-Reese; A U Turken; E M Waldron
Journal:  Psychol Rev       Date:  1998-07       Impact factor: 8.934

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  14 in total

1.  Procedural learning in perceptual categorization.

Authors:  F Gregory Ashby; Shawn W Ell; Elliott M Waldron
Journal:  Mem Cognit       Date:  2003-10

2.  The dimensionality of perceptual category learning: a state-trace analysis.

Authors:  Ben R Newell; John C Dunn; Michael Kalish
Journal:  Mem Cognit       Date:  2010-07

3.  Deferred feedback sharply dissociates implicit and explicit category learning.

Authors:  J David Smith; Joseph Boomer; Alexandria C Zakrzewski; Jessica L Roeder; Barbara A Church; F Gregory Ashby
Journal:  Psychol Sci       Date:  2013-12-13

4.  Dual-task interference in perceptual category learning.

Authors:  Dagmar Zeithamova; W Todd Maddox
Journal:  Mem Cognit       Date:  2006-03

5.  Feedback interference and dissociations of classification: evidence against the multiple-learning-systems hypothesis.

Authors:  Roger D Stanton; Robert M Nosofsky
Journal:  Mem Cognit       Date:  2007-10

6.  Rules-plus-exception tasks: a problem for exemplar models?

Authors:  Pedro M Rodrigues; Jaap M J Murre
Journal:  Psychon Bull Rev       Date:  2007-08

7.  Procedural interference in perceptual classification: implicit learning or cognitive complexity?

Authors:  Robert M Nosofsky; Roger D Stanton; Safa R Zaki
Journal:  Mem Cognit       Date:  2005-10

8.  Working-memory load and temporal myopia in dynamic decision making.

Authors:  Darrell A Worthy; A Ross Otto; W Todd Maddox
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2012-04-30       Impact factor: 3.051

9.  Challenging the role of implicit processes in probabilistic category learning.

Authors:  Ben R Newell; David A Lagnado; David R Shanks
Journal:  Psychon Bull Rev       Date:  2007-06

10.  A Comparison of the neural correlates that underlie rule-based and information-integration category learning.

Authors:  Kathryn L Carpenter; Andy J Wills; Abdelmalek Benattayallah; Fraser Milton
Journal:  Hum Brain Mapp       Date:  2016-05-20       Impact factor: 5.038

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