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Bayesian computation and mechanism: Theoretical pluralism drives scientific emergence

dc.contributor.authorSEWELL, DAVIDen_US
dc.contributor.authorLITTLE, DANIELen_US
dc.contributor.authorLewandowsky, Stephanen_US
dc.date.accessioned2014-05-22T03:36:16Z
dc.date.available2014-05-22T03:36:16Z
dc.date.issued2011en_US
dc.identifier0140-525Xen_US
dc.identifier.citationSewell, D., Little, D., & Lewandowsky, S. (2011). Bayesian computation and mechanism: Theoretical pluralism drives scientific emergence. Behavioral and Brain Sciences, 34.en_US
dc.identifier.urihttp://hdl.handle.net/11343/31534
dc.descriptionC1 - Journal Articles Refereed
dc.formatapplication/pdfen_US
dc.subjectPsychological Methodologyen_US
dc.subjectDesign and Analysis; Cognitive Science not elsewhere classified; Expanding Knowledge in Psychology and Cognitive Sciencesen_US
dc.titleBayesian computation and mechanism: Theoretical pluralism drives scientific emergenceen_US
dc.typeJournal Articleen_US
melbourne.peerreviewPeer Revieweden_US
melbourne.affiliationThe University of Melbourneen_US
melbourne.affiliation.departmentPsychological Sciences Academic Centreen_US
melbourne.source.titleBehavioral and Brain Sciencesen_US
melbourne.source.volume34en_US
melbourne.publicationid166746
melbourne.elementsidNA
melbourne.contributor.authorSewell, David
melbourne.contributor.authorLittle, Daniel
melbourne.fieldofresearch520105 Psychological methodology, design and analysis
melbourne.fieldofresearch520401 Cognition
melbourne.seocode280121 Expanding knowledge in psychology
melbourne.accessrightsThis item is currently not available from this repository


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