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dc.contributor.authorHalford, Graeme S
dc.date.accessioned2017-05-03T14:38:36Z
dc.date.available2017-05-03T14:38:36Z
dc.date.issued2009
dc.date.modified2010-06-28T06:34:13Z
dc.identifier.issn0140-525X
dc.identifier.doi10.1017/S0140525X09000363
dc.identifier.urihttp://hdl.handle.net/10072/30862
dc.description.abstractBayesian rationality is an important contribution to syllogistic inference, but it has limitations. The claim that confidence in a conclusion is a function of informativeness of the max-premise is anomalous because this is the least probable premise. A more plausible account is that confidence is inversely related to complexity. Bayesian rationality should be supplemented with principles based on cognitive complexity.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent42242 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherCambridge University Press
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom91
dc.relation.ispartofpageto91
dc.relation.ispartofissue1
dc.relation.ispartofjournalBehavioral and Brain Sciences
dc.relation.ispartofvolume32
dc.rights.retentionY
dc.subject.fieldofresearchProbability theory
dc.subject.fieldofresearchNeurosciences
dc.subject.fieldofresearchCognitive and computational psychology
dc.subject.fieldofresearchcode490506
dc.subject.fieldofresearchcode3209
dc.subject.fieldofresearchcode5204
dc.titleComplexity provides a better explanation than probability for confidence in syllogistic inferences
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Health, School of Applied Psychology
gro.rights.copyright© 2009 Cambridge University Press. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
gro.date.issued2009
gro.hasfulltextFull Text
gro.griffith.authorHalford, Graeme S.


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