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Paranoia reveals the complexity in assigning individuals to groups on the basis of inferred intentions

Published online by Cambridge University Press:  07 July 2022

Anna Greenburgh Open the ORCID record for Anna Greenburgh [Opens in a new window]  and
Nichola Raihani Open the ORCID record for Nichola Raihani [Opens in a new window]
Anna Greenburgh
Affiliation:
Department of Experimental Psychology, University College London, London WC1H 0AP, UK a.greenburgh@ucl.ac.uk n.raihani@ucl.ac.uk
Nichola Raihani
Affiliation:
Department of Experimental Psychology, University College London, London WC1H 0AP, UK a.greenburgh@ucl.ac.uk n.raihani@ucl.ac.uk
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Abstract

We suggest that variation, error, and bias will be essential to include in a complete computational theory of groups – particularly given that formation of group representations must often rely on inferences of intentions. We draw on the case study of paranoia to illustrate that intentions that do not correspond to group-constitutive roles may often be perceived as such.

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Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 45 , 2022 , e109
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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