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dc.contributor.authorHarris, Justin A
dc.date.accessioned2011-10-13
dc.date.available2011-10-13
dc.date.issued2010-01-01
dc.identifier.citationHarris, J. A. (2010). The arguments of associations. In: N. A. Schmajuk (Ed) Computational models of conditioning. Cambridge: Cambridge University Press. (pp 53‐70)en_AU
dc.identifier.issn987-0-521-11364-9
dc.identifier.urihttp://hdl.handle.net/2123/7793
dc.description.abstractThis chapter considers associative solutions to “non‐linear” discrimination problems, such as negative patterning (A+ and B+ vs AB‐) and the biconditional discrimination (AB+ and CD+ vs AC‐ and BD‐). It is commonly assumed that the solution to these discriminations requires “configural” elements that are added to the compound of two stimuli. However, these discriminations can be solved by assuming that some elements of each stimulus are suppressed when two stimuli are presented in compound. Each of these approaches can solve patterning and biconditional discriminations because they allow some elements, as the arguments of associations, to have differential “presence” on reinforced versus nonreinforced trials, and thus differential associability and control over responding. The chapter then presents a more specific version of one of these models, describing how interactions between stimuli, particularly the competition for attention, provide a mechanism whereby some elements are more suppressed than others when stimuli are presented simultaneously as a compound.en_AU
dc.language.isoenen_AU
dc.publisherCambridge University Pressen_AU
dc.subjectComputational modelen_AU
dc.subjectPavlovianen_AU
dc.subjectconditioningen_AU
dc.subjectassociative learningen_AU
dc.titleThe arguments of associationsen_AU
dc.typeBook chapteren_AU
dc.subject.asrcFoR::170101 - Biological Psychology (Neuropsychology, Psychopharmacology, Physiological Psychology)en_AU
dc.type.pubtypePost-printen_AU


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