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

Greenburgh, Anna; Raihani, Nichola; (2022) Paranoia reveals the complexity in assigning individuals to groups on the basis of inferred intentions. Behavioral and Brain Sciences , 45 , Article e109. 10.1017/S0140525X21001229. Green open access

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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.

Type: Article
Title: Paranoia reveals the complexity in assigning individuals to groups on the basis of inferred intentions.
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1017/S0140525X21001229
Publisher version: https://doi.org/10.1017/S0140525X21001229
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10153467
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