dc.contributor.author | SEWELL, DAVID | en_US |
dc.contributor.author | LITTLE, DANIEL | en_US |
dc.contributor.author | Lewandowsky, Stephan | en_US |
dc.date.accessioned | 2014-05-22T03:36:16Z | |
dc.date.available | 2014-05-22T03:36:16Z | |
dc.date.issued | 2011 | en_US |
dc.identifier | 0140-525X | en_US |
dc.identifier.citation | Sewell, D., Little, D., & Lewandowsky, S. (2011). Bayesian computation and mechanism: Theoretical pluralism drives scientific emergence. Behavioral and Brain Sciences, 34. | en_US |
dc.identifier.uri | http://hdl.handle.net/11343/31534 | |
dc.description | C1 - Journal Articles Refereed | |
dc.format | application/pdf | en_US |
dc.subject | Psychological Methodology | en_US |
dc.subject | Design and Analysis; Cognitive Science not elsewhere classified; Expanding Knowledge in Psychology and Cognitive Sciences | en_US |
dc.title | Bayesian computation and mechanism: Theoretical pluralism drives scientific emergence | en_US |
dc.type | Journal Article | en_US |
melbourne.peerreview | Peer Reviewed | en_US |
melbourne.affiliation | The University of Melbourne | en_US |
melbourne.affiliation.department | Psychological Sciences Academic Centre | en_US |
melbourne.source.title | Behavioral and Brain Sciences | en_US |
melbourne.source.volume | 34 | en_US |
melbourne.publicationid | 166746 | |
melbourne.elementsid | NA | |
melbourne.contributor.author | Sewell, David | |
melbourne.contributor.author | Little, Daniel | |
melbourne.fieldofresearch | 520105 Psychological methodology, design and analysis | |
melbourne.fieldofresearch | 520401 Cognition | |
melbourne.seocode | 280121 Expanding knowledge in psychology | |
melbourne.accessrights | This item is currently not available from this repository | |