Social cognition in insects.

culture emotions face recognition personality rescue behaviour swarm intelligence

Journal

Trends in cognitive sciences
ISSN: 1879-307X
Titre abrégé: Trends Cogn Sci
Pays: England
ID NLM: 9708669

Informations de publication

Date de publication:
07 2022
Historique:
received: 09 10 2021
revised: 26 03 2022
accepted: 12 04 2022
pubmed: 16 5 2022
medline: 18 6 2022
entrez: 15 5 2022
Statut: ppublish

Résumé

Insects feature some of the most complex societies in the animal kingdom, but a historic perception persists that such complexity emerges from interactions between individuals whose behaviours are largely guided by innate routines. Challenging this perception, recent work shows that insects feature many aspects of social intelligence found in vertebrate societies, such as individual recognition, learning object manipulation by observation, and elements of cultural traditions. Insects also display emotion-like states, which may be linked to social behaviours such as rescuing others from danger. We review recent developments in insect social cognition and speculate that some forms of now-hardwired behaviour (e.g., nest construction) could have initially been the result of individual innovation and subsequent cultural spread, with evolution later cementing these behaviours into innate behaviour routines.

Identifiants

pubmed: 35570086
pii: S1364-6613(22)00085-7
doi: 10.1016/j.tics.2022.04.001
pii:
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

578-592

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests No interests are declared.

Auteurs

Lars Chittka (L)

Department of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, E1 4NS, UK. Electronic address: l.chittka@qmul.ac.uk.

Natacha Rossi (N)

Department of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, E1 4NS, UK. Electronic address: n.rossi@qmul.ac.uk.

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Classifications MeSH