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dc.contributor.authorWilliams, Danielen
dc.date.accessioned2018-05-18T14:02:08Z
dc.date.available2018-05-18T14:02:08Z
dc.date.issued2018-05en
dc.identifier.issn1053-8100
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/275943
dc.description.abstractResearchers in the field of computational psychiatry have recently sought to model the formation and retention of delusions in terms of dysfunctions in a process of hierarchical Bayesian inference. I present a systematic review of such models and raise two challenges that have not received sufficient attention in the literature. First, the characteristic that is supposed to most sharply distinguish hierarchical Bayesian models from their competitors is their abandonment of the distinction between perception and cognition in favour of a unified inferential hierarchy. Standard ways of characterising this hierarchy, however, are inconsistent with the range of phenomena that delusions can represent. Second, there is little evidence that belief fixation in the healthy population is Bayesian, and an apparent abundance of evidence that it is not. As such, attempts to model delusions in terms of dysfunctions in a process of Bayesian inference are of dubious theoretical value.
dc.format.mediumPrint-Electronicen
dc.languageengen
dc.publisherElsevier
dc.subjectHumansen
dc.subjectBayes Theoremen
dc.subjectDelusionsen
dc.subjectModels, Theoreticalen
dc.titleHierarchical Bayesian models of delusion.en
dc.typeArticle
prism.endingPage147
prism.publicationDate2018en
prism.publicationNameConsciousness and cognitionen
prism.startingPage129
prism.volume61en
dc.identifier.doi10.17863/CAM.23224
dcterms.dateAccepted2018-03-03en
rioxxterms.versionofrecord10.1016/j.concog.2018.03.003en
rioxxterms.versionAM*
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2018-05en
dc.contributor.orcidWilliams, Daniel [0000-0002-9774-2910]
dc.identifier.eissn1090-2376
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idAHRC (1653062)
rioxxterms.freetoread.startdate2019-03-27


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