Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/63776

TítuloEvolution of all-or-none strategies in repeated public goods dilemmas
Autor(es)Pinheiro, Flávio L.
Vasconcelos, Vítor V.
Santos, Francisco C.
Pacheco, Jorge Manuel Santos
Palavras-chaveComputer Simulation
Humans
Models, Statistical
Cooperative Behavior
Game Theory
Group Processes
Models, Psychological
DataNov-2014
EditoraPublic Library of Science (PLOS)
RevistaPLoS Computational Biology
CitaçãoPinheiro FL, Vasconcelos VV, Santos FC, Pacheco JM (2014) Evolution of All-or-None Strategies in Repeated Public Goods Dilemmas. PLoS Comput Biol 10(11): e1003945. https://doi.org/10.1371/journal.pcbi.1003945
Resumo(s)Many problems of cooperation involve repeated interactions among the same groups of individuals. When collective action is at stake, groups often engage in Public Goods Games (PGG), where individuals contribute (or not) to a common pool, subsequently sharing the resources. Such scenarios of repeated group interactions materialize situations in which direct reciprocation to groups may be at work. Here we study direct group reciprocity considering the complete set of reactive strategies, where individuals behave conditionally on what they observed in the previous round. We study both analytically and by computer simulations the evolutionary dynamics encompassing this extensive strategy space, witnessing the emergence of a surprisingly simple strategy that we call All-Or-None (AoN). AoN consists in cooperating only after a round of unanimous group behavior (cooperation or defection), and proves robust in the presence of errors, thus fostering cooperation in a wide range of group sizes. The principles encapsulated in this strategy share a level of complexity reminiscent of that found already in 2-person games under direct and indirect reciprocity, reducing, in fact, to the well-known Win-Stay-Lose-Shift strategy in the limit of the repeated 2-person Prisoner's Dilemma.
TipoArtigo
URIhttps://hdl.handle.net/1822/63776
DOI10.1371/journal.pcbi.1003945
ISSN1553-734X
e-ISSN1553-7358
Versão da editorahttps://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003945
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:DMA - Artigos (Papers)

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