Literature DB >> 21274788

Learning conceptual rules: III. Processes contributing to rule difficulty.

H Salatas1, L E Bourne.   

Abstract

Eight unique bidimensional conceptual rule forms were compared in a rule learning paradigm. It was predicted that rule difficulty order and error distributions across stimulus class defined by a truth table would be a function of Ss' preexperimental experience predominantly with conjunctive concepts. The hypothesis stated specifically that loci of difficulty with rules derive from: (a) assignment of TT stimuli (those with both relevant attributes) to the negative category; (b) assignment of FF stimuli (those with neither relevant attributes) to the positive category; (c) assignment of TT and FF stimuli to the same category. The main effects of rule and truth table class and the interaction of rule and truth table class were statistically significant. The results confirm all predictions about rule order and error distributions.

Year:  1974        PMID: 21274788     DOI: 10.3758/BF03196919

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


  5 in total

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Journal:  Psychol Rev       Date:  1965-05       Impact factor: 8.934

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Journal:  J Exp Psychol       Date:  1962-12

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Authors:  L E Bourne; D E Guy
Journal:  J Exp Psychol       Date:  1968-03

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Authors:  P R Laughlin
Journal:  J Exp Psychol       Date:  1968-08

5.  Learning conceptual rules. II. The role of positive and negative instances.

Authors:  L E Bourne; D E Guy
Journal:  J Exp Psychol       Date:  1968-07
  5 in total
  7 in total

1.  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

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Authors:  L E Bourne
Journal:  Mem Cognit       Date:  1982-01

3.  Rule-based categorization deficits in focal basal ganglia lesion and Parkinson's disease patients.

Authors:  Shawn W Ell; Andrea Weinstein; Richard B Ivry
Journal:  Neuropsychologia       Date:  2010-06-17       Impact factor: 3.139

4.  A difficulty predictor for perceptual category learning.

Authors:  Luke A Rosedahl; F Gregory Ashby
Journal:  J Vis       Date:  2019-06-03       Impact factor: 2.240

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Authors:  S Choi; M A McDaniel; J R Busemeyer
Journal:  Mem Cognit       Date:  1993-07

6.  A Cognitive Modeling Approach to Strategy Formation in Dynamic Decision Making.

Authors:  Sabine Prezenski; André Brechmann; Susann Wolff; Nele Russwinkel
Journal:  Front Psychol       Date:  2017-08-04

7.  Behavioral evidence for differences in social and non-social category learning.

Authors:  Lucile Gamond; Catherine Tallon-Baudry; Nicolas Guyon; Jean-Didier Lemaréchal; Laurent Hugueville; Nathalie George
Journal:  Front Psychol       Date:  2012-08-15
  7 in total

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