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The Evolution of Tag-Based Cooperation in Humans

The Case for Accent

Bibliographic Data

ID2223091
AuthorsE Cohen (0000-0002-5465-3440, Max Planck Institute for Evolutionary Anthropology, corresponding author)
Year2012
Volume53
Issue5
Pages588-616
Publication date2012-10-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCurrent Anthropology (JOURNAL)
Journal identifiersISSN: 0011-3204 • E-ISSN: 1537-5382
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/667654
OpenAlexW1553256758
LanguageEN
Citations received44
References cited167

Recent game-theoretic simulation and analytical models have demonstrated that cooperative strategies mediated by indicators of cooperative potential, or "tags," can invade, spread, and resist invasion by noncooperators across a range of population-structure and cost-benefit scenarios. The plausibility of these models is potentially relevant for human evolutionary accounts insofar as humans possess some phenotypic trait that could serve as a reliable tag. Linguistic markers, such as accent and dialect, have frequently been either cursorily defended or promptly dismissed as satisfying the criteria of a reliable and evolutionarily viable tag. This paper integrates evidence from a range of disciplines to develop and assess the claim that speech accent mediated the evolution of tag-based cooperation in humans. Existing evidence warrants the preliminary conclusion that accent markers meet the demands of an evolutionarily viable tag and potentially afforded a cost-effective solution to the challenges of maintaining viable cooperative relationships in diffuse, regional social networks

Biology · Data science · Economics · Evolutionary game theory · Game theory · Microeconomics · Population · Range (aeronautics · Sociology · Stress (linguistics · Trait · Computer Science · Engineering · Evolutionary Game Theory and Cooperation · Evolutionary Psychology and Human Behavior · Language and cultural evolution

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Unique citing works44
Citations per year3,38
Citation span2013 - 2026 (14)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 37

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