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Higher social tolerance is associated with more complex facial behavior in macaques.
- Source :
-
ELife [Elife] 2023 Oct 03; Vol. 12. Date of Electronic Publication: 2023 Oct 03. - Publication Year :
- 2023
-
Abstract
- The social complexity hypothesis for communicative complexity posits that animal societies with more complex social systems require more complex communication systems. We tested the social complexity hypothesis on three macaque species that vary in their degree of social tolerance and complexity. We coded facial behavior in >3000 social interactions across three social contexts (aggressive, submissive, affiliative) in 389 animals, using the Facial Action Coding System for macaques (MaqFACS). We quantified communicative complexity using three measures of uncertainty: entropy, specificity, and prediction error. We found that the relative entropy of facial behavior was higher for the more tolerant crested macaques as compared to the less tolerant Barbary and rhesus macaques across all social contexts, indicating that crested macaques more frequently use a higher diversity of facial behavior. The context specificity of facial behavior was higher in rhesus as compared to Barbary and crested macaques, demonstrating that Barbary and crested macaques used facial behavior more flexibly across different social contexts. Finally, a random forest classifier predicted social context from facial behavior with highest accuracy for rhesus and lowest for crested, indicating there is higher uncertainty and complexity in the facial behavior of crested macaques. Overall, our results support the social complexity hypothesis.<br />Competing Interests: AR, BW, JD, AM, CP, PC, JM No competing interests declared<br /> (© 2023, Rincon et al.)
- Subjects :
- Animals
Macaca mulatta
Aggression
Communication
Behavior, Animal
Social Behavior
Face
Subjects
Details
- Language :
- English
- ISSN :
- 2050-084X
- Volume :
- 12
- Database :
- MEDLINE
- Journal :
- ELife
- Publication Type :
- Academic Journal
- Accession number :
- 37787008
- Full Text :
- https://doi.org/10.7554/eLife.87008