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Great ape communication as contextual social inference: a computational modelling perspective

  • Manuel Bohn*
  • , Katja Liebal
  • , Linda Oña
  • , Michael Henry Tessler
  • *Corresponding author for this work

Research output: Journal contributionsJournal articlesResearchpeer-review

14 Citations (Scopus)

Abstract

Human communication has been described as a contextual social inference process. Research into great ape communication has been inspired by this view to look for the evolutionary roots of the social, cognitive and interactional processes involved in human communication. This approach has been highly productive, yet it is partly compromised by the widespread focus on how great apes use and understand individual signals. This paper introduces a computational model that formalizes great ape communication as a multi-faceted social inference process that integrates (a) information contained in the signals that make up an utterance, (b) the relationship between communicative partners and (c) the social context. This model makes accurate qualitative and quantitative predictions about real-world communicative interactions between semi-wild-living chimpanzees. When enriched with a pragmatic reasoning process, the model explains repeatedly reported differences between humans and great apes in the interpretation of ambiguous signals (e.g. pointing or iconic gestures). This approach has direct implications for observational and experimental studies of great ape communication and provides a new tool for theorizing about the evolution of uniquely human communication. This article is part of the theme issue 'Revisiting the human 'interaction engine': comparative approaches to social action coordination'.

Original languageEnglish
Article number20210096
JournalPhilosophical Transactions of the Royal Society B: Biological Sciences
Volume377
Issue number1859
Number of pages12
ISSN0962-8436
DOIs
Publication statusPublished - 12.09.2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 The Authors.

Research areas and keywords

  • communication
  • computational modelling
  • evolution
  • primates
  • social cognition
  • Psychology

ASJC Scopus Subject Areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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