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Replicator–mutator dynamics of linguistic convergence and divergence

People tend to align their use of language to the linguistic behaviour of their own ingroup and to simultaneously diverge from the language use of outgroups. This paper proposes to model this phenomenon of sociolinguistic identity maintenance as an evolutionary game in which individuals play the fie...

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Autor principal: Kauhanen, Henri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735325/
https://www.ncbi.nlm.nih.gov/pubmed/33391816
http://dx.doi.org/10.1098/rsos.201682
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author Kauhanen, Henri
author_facet Kauhanen, Henri
author_sort Kauhanen, Henri
collection PubMed
description People tend to align their use of language to the linguistic behaviour of their own ingroup and to simultaneously diverge from the language use of outgroups. This paper proposes to model this phenomenon of sociolinguistic identity maintenance as an evolutionary game in which individuals play the field and the dynamics are supplied by a multi-population extension of the replicator–mutator equation. Using linearization, the stabilities of all dynamic equilibria of the game in its fully symmetric two-population special case are found. The model is then applied to an empirical test case from adolescent sociolinguistic behaviour. It is found that the empirically attested population state corresponds to one of a number of stable equilibria of the game under an independently plausible value of a parameter controlling the rate of linguistic mutations. An asymmetric three-population extension of the game, explored with numerical solution methods, furthermore predicts to which specific equilibrium the system converges.
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spelling pubmed-77353252020-12-31 Replicator–mutator dynamics of linguistic convergence and divergence Kauhanen, Henri R Soc Open Sci Mathematics People tend to align their use of language to the linguistic behaviour of their own ingroup and to simultaneously diverge from the language use of outgroups. This paper proposes to model this phenomenon of sociolinguistic identity maintenance as an evolutionary game in which individuals play the field and the dynamics are supplied by a multi-population extension of the replicator–mutator equation. Using linearization, the stabilities of all dynamic equilibria of the game in its fully symmetric two-population special case are found. The model is then applied to an empirical test case from adolescent sociolinguistic behaviour. It is found that the empirically attested population state corresponds to one of a number of stable equilibria of the game under an independently plausible value of a parameter controlling the rate of linguistic mutations. An asymmetric three-population extension of the game, explored with numerical solution methods, furthermore predicts to which specific equilibrium the system converges. The Royal Society 2020-11-18 /pmc/articles/PMC7735325/ /pubmed/33391816 http://dx.doi.org/10.1098/rsos.201682 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Mathematics
Kauhanen, Henri
Replicator–mutator dynamics of linguistic convergence and divergence
title Replicator–mutator dynamics of linguistic convergence and divergence
title_full Replicator–mutator dynamics of linguistic convergence and divergence
title_fullStr Replicator–mutator dynamics of linguistic convergence and divergence
title_full_unstemmed Replicator–mutator dynamics of linguistic convergence and divergence
title_short Replicator–mutator dynamics of linguistic convergence and divergence
title_sort replicator–mutator dynamics of linguistic convergence and divergence
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735325/
https://www.ncbi.nlm.nih.gov/pubmed/33391816
http://dx.doi.org/10.1098/rsos.201682
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