Dissociations Among Judgments Do Not Reflect Cognitive Priority: An Associative Explanation of Memory for Frequency Information in Contingency Learning.
Previous research on causal learning has usually made strong claims about the relative complexity and temporal priority of some processes over others based on evidence about dissociations between several types of judgments. In particular, it has been argued that the dissociation between causal judgm...
| Publicado en: | Canadian Journal of Experimental Psychology / Revue Canadienne de Psychologie Expérimentale Vol. 67; no. 1; pp. 60 - 72 |
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| Autores principales: | , |
| Formato: | Artículo |
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Canadian Psychological Association
Mar2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=85927500&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 85927500 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 11961961 CJX jtl: Canadian Journal of Experimental Psychology / Revue Canadienne de Psychologie Expérimentale issn: 11961961 maglogo: N pubinfo: dt: Mar2013 vid: 67 iid: 1 pid: 98 pub: Canadian Psychological Association artinfo: ui: 85927500 10.1037/a0027617 ppf: 60 ppct: 12 formats: fmt: @attributes: type: P size: 673KB tig: atl: Dissociations Among Judgments Do Not Reflect Cognitive Priority: An Associative Explanation of Memory for Frequency Information in Contingency Learning. aug: au: Vadillo, Miguel A. Luque, David affil: Department of Foundations and Methods of Psychology, University of Deusto, Bilbao, Spain Department of Basic Psychology, University of Málaga, Málaga, Spain su: Cognition Computer simulation Learning Memory sug: subj: Cognition Computer simulation Learning Memory keyword: associative models contingency learning probability learning statistical models apprentissage de la contingence apprentissage probabiliste modèles associatifs modèles statistique associative models contingency learning probability learning statistical models apprentissage de la contingence apprentissage probabiliste modèles associatifs modèles statistique ab: Previous research on causal learning has usually made strong claims about the relative complexity and temporal priority of some processes over others based on evidence about dissociations between several types of judgments. In particular, it has been argued that the dissociation between causal judgments and trial-type frequency information is incompatible with the general cognitive architecture proposed by associative models. In contrast with this view, we conduct an associative analysis of this process showing that this need not be the case. We conclude that any attempt to gain a better insight on the cognitive architecture involved in contingency learning cannot rely solely on data about these dissociations. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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