Literature DB >> 21660482

Learning and transfer of category knowledge in an indirect categorization task.

Sebastien Helie1, F Gregory Ashby.   

Abstract

Knowledge representations acquired during category learning experiments are 'tuned' to the task goal. A useful paradigm to study category representations is indirect category learning. In the present article, we propose a new indirect categorization task called the "same"-"different" categorization task. The same-different categorization task is a regular same-different task, but the question asked to the participants is about the stimulus category membership instead of stimulus identity. Experiment 1 explores the possibility of indirectly learning rule-based and information-integration category structures using the new paradigm. The results suggest that there is little learning about the category structures resulting from an indirect categorization task unless the categories can be separated by a one-dimensional rule. Experiment 2 explores whether a category representation learned indirectly can be used in a direct classification task (and vice versa). The results suggest that previous categorical knowledge acquired during a direct classification task can be expressed in the same-different categorization task only when the categories can be separated by a rule that is easily verbalized. Implications of these results for categorization research are discussed.

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Year:  2011        PMID: 21660482     DOI: 10.1007/s00426-011-0348-1

Source DB:  PubMed          Journal:  Psychol Res        ISSN: 0340-0727


  16 in total

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

Review 2.  Category use and category learning.

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Journal:  Psychol Bull       Date:  2003-07       Impact factor: 17.737

3.  Delayed feedback effects on rule-based and information-integration category learning.

Authors:  W Todd Maddox; F Gregory Ashby; Corey J Bohil
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2003-07       Impact factor: 3.051

4.  Dissociating explicit and procedural-learning based systems of perceptual category learning.

Authors:  W Todd Maddox; F Gregory Ashby
Journal:  Behav Processes       Date:  2004-06-30       Impact factor: 1.777

5.  Automaticity in rule-based and information-integration categorization.

Authors:  Sébastien Hélie; Jennifer G Waldschmidt; F Gregory Ashby
Journal:  Atten Percept Psychophys       Date:  2010-05       Impact factor: 2.199

6.  Delayed feedback disrupts the procedural-learning system but not the hypothesis-testing system in perceptual category learning.

Authors:  W Todd Maddox; A David Ing
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2005-01       Impact factor: 3.051

7.  The Psychophysics Toolbox.

Authors:  D H Brainard
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8.  A theory of perceptual matching.

Authors:  L E Krueger
Journal:  Psychol Rev       Date:  1978-07       Impact factor: 8.934

Review 9.  Human category learning.

Authors:  F Gregory Ashby; W Todd Maddox
Journal:  Annu Rev Psychol       Date:  2005       Impact factor: 24.137

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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  8 in total

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Journal:  Neuropsychology       Date:  2018-06-28       Impact factor: 3.295

2.  Criterion learning in rule-based categorization: simulation of neural mechanism and new data.

Authors:  Sebastien Helie; Shawn W Ell; J Vincent Filoteo; W Todd Maddox
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3.  A Study of Individual Differences in Categorization with Redundancy.

Authors:  Farzin Shamloo; Sébastien Hélie
Journal:  J Math Psychol       Date:  2020-11-03       Impact factor: 2.223

4.  The impact of training methodology and representation on rule-based categorization: An fMRI study.

Authors:  Sébastien Hélie; Farzin Shamloo; Hanru Zhang; Shawn W Ell
Journal:  Cogn Affect Behav Neurosci       Date:  2021-04-06       Impact factor: 3.282

5.  The effect of training methodology on knowledge representation in categorization.

Authors:  Sébastien Hélie; Farzin Shamloo; Shawn W Ell
Journal:  PLoS One       Date:  2017-08-28       Impact factor: 3.240

6.  Transfer in Rule-Based Category Learning Depends on the Training Task.

Authors:  Florian Kattner; Christopher R Cox; C Shawn Green
Journal:  PLoS One       Date:  2016-10-20       Impact factor: 3.240

7.  Practice and Preparation Time Facilitate System-Switching in Perceptual Categorization.

Authors:  Sébastien Hélie
Journal:  Front Psychol       Date:  2017-11-07

8.  A role for the medial temporal lobes in category learning.

Authors:  Yi-Wen Wang; F Gregory Ashby
Journal:  Learn Mem       Date:  2020-09-15       Impact factor: 2.460

  8 in total

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