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Article: Some deterministic models of concept identification

TitleSome deterministic models of concept identification
Authors
Issue Date1983
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/jmp
Citation
Journal Of Mathematical Psychology, 1983, v. 27 n. 4, p. 406-438 How to Cite?
AbstractIt is shown that deterministic models can compete effectively with stochastic models in summarizing concept identification behavior. Three groups of deterministic models are examined. Examination of individual learners' trial by trial behavior in a concept experiment shows: (1) One person exhibited behavior consistent with a Hypothesis Permutation (HP) model despite being a nonlearner who showed no evidence of improvement over a period of 24 trials. However, when all 50 persons studied in each of two treatment groups were examined, only 22 members of one group and 10 of the other showed no inconsistencies with deterministic local consistency assumptions. (2) Certain deterministic computer programs could find at least one satisfactory order for predicting all responses by 18 of the 22 consistent solvers and 6 of the 10 consistent solvers, respectively, in the two groups just mentioned. For these 24 persons, then, a less restrictive deterministic model is adequate than for the others. (3) Those 38 original members of the first treatment group who met a stringent learning criterion were compared with respect to predictions generated by stochastic and mathematized deterministic models. One deterministic model (RSS-U 9-state) is in some respects the best of the models examined, but this success is a partial reflection of estimating eight parameters from the data. © 1983.
Persistent Identifierhttp://hdl.handle.net/10722/152393
ISSN
2015 Impact Factor: 1.818
2015 SCImago Journal Rankings: 1.513

 

DC FieldValueLanguage
dc.contributor.authorChow, KPen_US
dc.contributor.authorCotton, JWen_US
dc.date.accessioned2012-06-26T06:37:53Z-
dc.date.available2012-06-26T06:37:53Z-
dc.date.issued1983en_US
dc.identifier.citationJournal Of Mathematical Psychology, 1983, v. 27 n. 4, p. 406-438en_US
dc.identifier.issn0022-2496en_US
dc.identifier.urihttp://hdl.handle.net/10722/152393-
dc.description.abstractIt is shown that deterministic models can compete effectively with stochastic models in summarizing concept identification behavior. Three groups of deterministic models are examined. Examination of individual learners' trial by trial behavior in a concept experiment shows: (1) One person exhibited behavior consistent with a Hypothesis Permutation (HP) model despite being a nonlearner who showed no evidence of improvement over a period of 24 trials. However, when all 50 persons studied in each of two treatment groups were examined, only 22 members of one group and 10 of the other showed no inconsistencies with deterministic local consistency assumptions. (2) Certain deterministic computer programs could find at least one satisfactory order for predicting all responses by 18 of the 22 consistent solvers and 6 of the 10 consistent solvers, respectively, in the two groups just mentioned. For these 24 persons, then, a less restrictive deterministic model is adequate than for the others. (3) Those 38 original members of the first treatment group who met a stringent learning criterion were compared with respect to predictions generated by stochastic and mathematized deterministic models. One deterministic model (RSS-U 9-state) is in some respects the best of the models examined, but this success is a partial reflection of estimating eight parameters from the data. © 1983.en_US
dc.languageengen_US
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/jmpen_US
dc.relation.ispartofJournal of Mathematical Psychologyen_US
dc.titleSome deterministic models of concept identificationen_US
dc.typeArticleen_US
dc.identifier.emailChow, KP:chow@cs.hku.hken_US
dc.identifier.authorityChow, KP=rp00111en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-48749143812en_US
dc.identifier.volume27en_US
dc.identifier.issue4en_US
dc.identifier.spage406en_US
dc.identifier.epage438en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridChow, KP=7202180751en_US
dc.identifier.scopusauthoridCotton, JW=8392420600en_US

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