Evolution of collective action in adaptive social structures

Detalhes bibliográficos
Autor(a) principal: Moreira, João A.
Data de Publicação: 2013
Outros Autores: Pacheco, Jorge Manuel Santos, Santos, Francisco C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/63309
Resumo: Many problems in nature can be conveniently framed as a problem of evolution of collective cooperative behaviour, often modelled resorting to the tools of evolutionary game theory in well-mixed populations, combined with an appropriate N-person dilemma. Yet, the well-mixed assumption fails to describe the population dynamics whenever individuals have a say in deciding which groups they will participate. Here we propose a simple model in which dynamical group formation is described as a result of a topological evolution of a social network of interactions. We show analytically how evolutionary dynamics under public goods games in finite adaptive networks can be effectively transformed into a N-Person dilemma involving both coordination and co-existence. Such dynamics would be impossible to foresee from more conventional 2-person interactions as well as from descriptions based on infinite, well-mixed populations. Finally, we show how stochastic effects help rendering cooperation viable, promoting polymorphic configurations in which cooperators prevail.
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spelling Evolution of collective action in adaptive social structuresHumansInterpersonal RelationsPopulation DynamicsBiological EvolutionCooperative BehaviorGame TheoryModels, TheoreticalScience & TechnologyMany problems in nature can be conveniently framed as a problem of evolution of collective cooperative behaviour, often modelled resorting to the tools of evolutionary game theory in well-mixed populations, combined with an appropriate N-person dilemma. Yet, the well-mixed assumption fails to describe the population dynamics whenever individuals have a say in deciding which groups they will participate. Here we propose a simple model in which dynamical group formation is described as a result of a topological evolution of a social network of interactions. We show analytically how evolutionary dynamics under public goods games in finite adaptive networks can be effectively transformed into a N-Person dilemma involving both coordination and co-existence. Such dynamics would be impossible to foresee from more conventional 2-person interactions as well as from descriptions based on infinite, well-mixed populations. Finally, we show how stochastic effects help rendering cooperation viable, promoting polymorphic configurations in which cooperators prevail.This research was supported by FCT-Portugal through grants PTDC/FIS/101248/2008 and PTDC/MAT/122897/2010, by multi-annual funding of CMAF-UL and INESC-ID (under the project PEst-OE/EEI/LA0021/2011) provided by FCT-Portugal. Partial Financial support by the National Science Foundation under Grant No. NSF PHY11-25915 is also gratefully acknowledged.Nature ResearchUniversidade do MinhoMoreira, João A.Pacheco, Jorge Manuel SantosSantos, Francisco C.20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/63309eng2045-232210.1038/srep0152123519283https://www.nature.com/articles/srep01521info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:15:33Zoai:repositorium.sdum.uminho.pt:1822/63309Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:08:00.713211Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Evolution of collective action in adaptive social structures
title Evolution of collective action in adaptive social structures
spellingShingle Evolution of collective action in adaptive social structures
Moreira, João A.
Humans
Interpersonal Relations
Population Dynamics
Biological Evolution
Cooperative Behavior
Game Theory
Models, Theoretical
Science & Technology
title_short Evolution of collective action in adaptive social structures
title_full Evolution of collective action in adaptive social structures
title_fullStr Evolution of collective action in adaptive social structures
title_full_unstemmed Evolution of collective action in adaptive social structures
title_sort Evolution of collective action in adaptive social structures
author Moreira, João A.
author_facet Moreira, João A.
Pacheco, Jorge Manuel Santos
Santos, Francisco C.
author_role author
author2 Pacheco, Jorge Manuel Santos
Santos, Francisco C.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Moreira, João A.
Pacheco, Jorge Manuel Santos
Santos, Francisco C.
dc.subject.por.fl_str_mv Humans
Interpersonal Relations
Population Dynamics
Biological Evolution
Cooperative Behavior
Game Theory
Models, Theoretical
Science & Technology
topic Humans
Interpersonal Relations
Population Dynamics
Biological Evolution
Cooperative Behavior
Game Theory
Models, Theoretical
Science & Technology
description Many problems in nature can be conveniently framed as a problem of evolution of collective cooperative behaviour, often modelled resorting to the tools of evolutionary game theory in well-mixed populations, combined with an appropriate N-person dilemma. Yet, the well-mixed assumption fails to describe the population dynamics whenever individuals have a say in deciding which groups they will participate. Here we propose a simple model in which dynamical group formation is described as a result of a topological evolution of a social network of interactions. We show analytically how evolutionary dynamics under public goods games in finite adaptive networks can be effectively transformed into a N-Person dilemma involving both coordination and co-existence. Such dynamics would be impossible to foresee from more conventional 2-person interactions as well as from descriptions based on infinite, well-mixed populations. Finally, we show how stochastic effects help rendering cooperation viable, promoting polymorphic configurations in which cooperators prevail.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/63309
url http://hdl.handle.net/1822/63309
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2045-2322
10.1038/srep01521
23519283
https://www.nature.com/articles/srep01521
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Nature Research
publisher.none.fl_str_mv Nature Research
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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