Great ape cognition is structured by stable cognitive abilities and predicted by developmental conditions.
Journal
Nature ecology & evolution
ISSN: 2397-334X
Titre abrégé: Nat Ecol Evol
Pays: England
ID NLM: 101698577
Informations de publication
Date de publication:
Jun 2023
Jun 2023
Historique:
received:
26
08
2022
accepted:
28
03
2023
medline:
12
6
2023
pubmed:
28
4
2023
entrez:
27
4
2023
Statut:
ppublish
Résumé
Great ape cognition is used as a reference point to specify the evolutionary origins of complex cognitive abilities, including in humans. This research often assumes that great ape cognition consists of cognitive abilities (traits) that account for stable differences between individuals, which change and develop in response to experience. Here, we test the validity of these assumptions by assessing repeatability of cognitive performance among captive great apes (Gorilla gorilla, Pongo abelii, Pan paniscus, Pan troglodytes) in five tasks covering a range of cognitive domains. We examine whether individual characteristics (age, group, test experience) or transient situational factors (life events, testing arrangements or sociality) influence cognitive performance. Our results show that task-level performance is generally stable over time; four of the five tasks were reliable measurement tools. Performance in the tasks was best explained by stable differences in cognitive abilities (traits) between individuals. Cognitive abilities were further correlated, suggesting shared cognitive processes. Finally, when predicting cognitive performance, we found stable individual characteristics to be more important than variables capturing transient experience. Taken together, this study shows that great ape cognition is structured by stable cognitive abilities that respond to different developmental conditions.
Identifiants
pubmed: 37106158
doi: 10.1038/s41559-023-02050-8
pii: 10.1038/s41559-023-02050-8
pmc: PMC10250201
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
927-938Informations de copyright
© 2023. The Author(s).
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