Procedural memory effects in categorization: Evidence for multiple systems or task complexity?
According to an influential multiple-systems model of category learning, an implicit procedural system governs the learning of information-integration category structures, whereas a rule-based system governs the learning of explicit rule-based categories. Support for this idea has come in part from...
| Publicado en: | Memory & Cognition Vol. 42; no. 3; pp. 508 - 525 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Nature
Apr2014
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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=95275789&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 95275789 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0090502X MEG jtl: Memory & Cognition issn: 0090502X maglogo: N pubinfo: dt: Apr2014 vid: 42 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 95275789 10.3758/s13421-013-0375-9 ppf: 508 ppct: 17 formats: fmt: @attributes: type: P size: 1MB tig: atl: Procedural memory effects in categorization: Evidence for multiple systems or task complexity? aug: au: Zaki, Safa Kleinschmidt, Dave affil: Department of Brain and Cognitive Sciences, University of Rochester, Rochester 14623 USA su: Analysis of variance Learning Memory Problem solving Task performance Chi-squared test Concept mapping Descriptive statistics sug: subj: Analysis of variance Learning Memory Problem solving Task performance Chi-squared test Concept mapping Descriptive statistics keyword: Categorization Categorization ab: According to an influential multiple-systems model of category learning, an implicit procedural system governs the learning of information-integration category structures, whereas a rule-based system governs the learning of explicit rule-based categories. Support for this idea has come in part from demonstrations that motor interference, in the form of inconsistent mapping between response location and category labels, results in observed deficits, but only for learning information-integration category structures. In this article, we argue that this response location manipulation results in a potentially more cognitively complex task in which the feedback is difficult to interpret. In one experiment, we attempted to attenuate the cognitive complexity by providing more information in the feedback, and demonstrated that this eliminates the observed performance deficit for information-integration category structures. In a second experiment, we demonstrated similar interference of the inconsistent mapping manipulation in a rule-based category structure. We claim that task complexity, and not separate systems, might be the source of the original dissociation between performance on rule-based and information-integration tasks. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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