Williams, Daniel and Montagnese, Marcella (2020) Bayesian Psychiatry and the Social Focus of Delusions. [Preprint]

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Abstract

A large and growing body of research in computational psychiatry draws on Bayesian modelling to illuminate the dysfunctions and aberrations that underlie psychiatric disorders. After identifying the chief attractions of this research programme, we argue that its typical focus on abstract, domain-general inferential processes is likely to obscure many of the distinctive ways in which the human mind can break down and malfunction. We illustrate this by appeal to psychosis and the social phenomenology of delusions.

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Item Type:	Preprint
Creators:	Creators Email ORCID Williams, Daniel dw473@cam.ac.uk 0000-0002-9774-2910 Montagnese, Marcella Marcella.montagnese@kcl.ac.uk 0000-0001-5467-0104
Keywords:	bayesian brain; computational psychiatry; predictive coding; predictive processing; evolutionary psychology; functional specialization; psychosis; delusions; social theory of delusions; paranoia
Subjects:	Specific Sciences > Psychology > Evolutionary Psychology Specific Sciences > Neuroscience > Cognitive Neuroscience Specific Sciences > Cognitive Science Specific Sciences > Medicine > Psychiatry
Depositing User:	Mr Daniel Williams
Date Deposited:	01 Oct 2020 04:11
Last Modified:	01 Oct 2020 04:11
Item ID:	18188
Subjects:	Specific Sciences > Psychology > Evolutionary Psychology Specific Sciences > Neuroscience > Cognitive Neuroscience Specific Sciences > Cognitive Science Specific Sciences > Medicine > Psychiatry
Date:	2020
URI:	https://philsci-archive.pitt.edu/id/eprint/18188

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