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

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.

Citation

Anna Greenburgh, Nichola Raihani. Paranoia reveals the complexity in assigning individuals to groups on the basis of inferred intentions. The Behavioral and brain sciences. 2022 Jul 07;45:e109

Mesh Tags

PMID: 35796374

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