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dc.contributor.authorRutar, D
dc.contributor.authorde Wolff, E
dc.contributor.authorvan Rooij, I
dc.contributor.authorKwisthout, J
dc.date.accessioned2022-05-24T15:18:22Z
dc.date.available2022-05-24T15:18:22Z
dc.date.issued2022-06
dc.identifier.issn2522-0861
dc.identifier.others42113-022-00131-8
dc.identifier.other131
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337432
dc.descriptionFunder: donders institute
dc.descriptionFunder: netherlands institute for advanced study in the humanities and social sciences; doi: https://doi.org/10.13039/501100001719
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>The predictive processing account aspires to explain all of cognition using a single, unifying principle. Among the major challenges is to explain how brains are able to infer the structure of their generative models. Recent attempts to further this goal build on existing ideas and techniques from engineering fields, like Bayesian statistics and machine learning. While apparently promising, these approaches make specious assumptions that effectively confuse structure learning with Bayesian parameter estimation in a fixed state space. We illustrate how this leads to a set of theoretical problems for the predictive processing account. These problems highlight a need for developing new formalisms specifically tailored to the theoretical aims of scientific explanation. We lay the groundwork for a possible way forward.</jats:p>
dc.languageen
dc.publisherSpringer Science and Business Media LLC
dc.subjectOriginal Paper
dc.subjectPredictive processing
dc.subjectStructure learning
dc.subjectBayesian inference
dc.subjectModel expansion
dc.titleStructure Learning in Predictive Processing Needs Revision
dc.typeArticle
dc.date.updated2022-05-24T15:18:21Z
prism.endingPage243
prism.issueIdentifier2
prism.publicationNameComputational Brain and Behavior
prism.startingPage234
prism.volume5
dc.identifier.doi10.17863/CAM.84845
dcterms.dateAccepted2022-01-31
rioxxterms.versionofrecord10.1007/s42113-022-00131-8
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidRutar, D [0000-0002-6798-2796]
dc.identifier.eissn2522-087X
cam.issuedOnline2022-04-28


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