Latent structure learning as an alternative computation for group inference
- PMID: 35796380
- DOI: 10.1017/S0140525X21001254
Latent structure learning as an alternative computation for group inference
Abstract
In contrast to Pietraszewski's account, latent structure learning neither requires conflict nor relies on observation of explicit coalitional behavior to support group inference. This alternative addresses how even non-conflict-based groups may be defined and is supported by experimental evidence in human behavior.
Comment in
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More "us," less "them": An appeal for pluralism - and stand-alone computational theorizing - in our science of social groups.Behav Brain Sci. 2022 Jul 7;45:e127. doi: 10.1017/S0140525X22000024. Behav Brain Sci. 2022. PMID: 35796390
Comment on
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Toward a computational theory of social groups: A finite set of cognitive primitives for representing any and all social groups in the context of conflict.Behav Brain Sci. 2021 Apr 27;45:e97. doi: 10.1017/S0140525X21000583. Behav Brain Sci. 2021. PMID: 33902764
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