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Strategies in Concept Identification

Stochastic Model and Computer Simulation I

Bibliographic Data

ID19277377
AuthorsTarow Indow (Keio University), SAYOKO SUZUKI (Keio University)
Year1972
Volume14
Issue4
Pages168-175
Publication date1972-01-01
Open AccessNo
TypeARTICLE
VenueJapanese Psychological Research (JOURNAL)
Journal identifiersISSN: 0021-5368 • E-ISSN: 1468-5884
PublisherThe Japanese Psychological Association (PUBLISHER • JP)
DOI10.4992/psycholres1954.14.168
OpenAlexW2527102363
LanguageEN

A total of 455 cases, 5 tasks by 91 subjects, of the simplest form of concept identification with stimuli, each consisting of 5 letters, were stratified into 8 groups according to strategies used by the subjects. Two representative strategies were identified through verbal reports of the subjects and also differences in performance: whole-letter strategy to pursue all of an appropriate set of letters simultaneously and one-letter strategy to test one letter at a time and without replacement. Both strategies were simulated by a computer. All the results, the whole cases, 8 separate groups, computer simulations, were also fitted by the original form of Bower-Trabasso stochastic model (1964). Two main findings were as follows: there are substantial individual differences in regard to strategy and the stochastic model gives apparent good fits to each of the heterogeneous set of data which were generated through qualitatively different strategies, provided the value of a parameter, the probability of hitting the correct hypothesis, is appropriately defined

Cognitive psychology · Identification (biology) · Set (abstract data type) · Statistics · Test (biology) · Value (mathematics) · Advanced Text Analysis Techniques · Artificial Intelligence · Computer Science · Mathematics · Psychology

Highly citedNo

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