Effect of initial fraction of cooperators on cooperative behavior in evolutionary prisoner's dilemma game.

We investigate the influence of initial fraction of cooperators on the evolution of cooperation in spatial prisoner's dilemma games. Compared with the results of heterogeneous networks, we find that there is a relatively low initial fraction of cooperators to guarantee higher equilibrium cooper...

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Main Authors: Keizo Shigaki, Zhen Wang, Jun Tanimoto, Eriko Fukuda
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3820665?pdf=render
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spelling doaj-b764724283d047358c53af1ad6e99d182020-11-25T00:51:39ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01811e7694210.1371/journal.pone.0076942Effect of initial fraction of cooperators on cooperative behavior in evolutionary prisoner's dilemma game.Keizo ShigakiZhen WangJun TanimotoEriko FukudaWe investigate the influence of initial fraction of cooperators on the evolution of cooperation in spatial prisoner's dilemma games. Compared with the results of heterogeneous networks, we find that there is a relatively low initial fraction of cooperators to guarantee higher equilibrium cooperative level. While this interesting phenomenon is contrary to the commonly shared knowledge that higher initial fraction of cooperators can provide better environment for the evolution of cooperation. To support our outcome, we explore the time courses of cooperation and find that the whole course can be divided into two sequent stages: enduring (END) and expanding (EXP) periods. At the end of END period, thought there is a limited number of cooperator clusters left for the case of low initial setup, these clusters can smoothly expand to hold the whole system in the EXP period. However, for high initial fraction of cooperators, superfluous cooperator clusters hinder their effective expansion, which induces many remaining defectors surrounding the cooperator clusters. Moreover, through intensive analysis, we also demonstrate that when the tendency of three cooperation cluster characteristics (cluster size, cluster number and cluster shape) are consistent within END and EXP periods, the state that maximizes cooperation can be favored.http://europepmc.org/articles/PMC3820665?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Keizo Shigaki
Zhen Wang
Jun Tanimoto
Eriko Fukuda
spellingShingle Keizo Shigaki
Zhen Wang
Jun Tanimoto
Eriko Fukuda
Effect of initial fraction of cooperators on cooperative behavior in evolutionary prisoner's dilemma game.
PLoS ONE
author_facet Keizo Shigaki
Zhen Wang
Jun Tanimoto
Eriko Fukuda
author_sort Keizo Shigaki
title Effect of initial fraction of cooperators on cooperative behavior in evolutionary prisoner's dilemma game.
title_short Effect of initial fraction of cooperators on cooperative behavior in evolutionary prisoner's dilemma game.
title_full Effect of initial fraction of cooperators on cooperative behavior in evolutionary prisoner's dilemma game.
title_fullStr Effect of initial fraction of cooperators on cooperative behavior in evolutionary prisoner's dilemma game.
title_full_unstemmed Effect of initial fraction of cooperators on cooperative behavior in evolutionary prisoner's dilemma game.
title_sort effect of initial fraction of cooperators on cooperative behavior in evolutionary prisoner's dilemma game.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description We investigate the influence of initial fraction of cooperators on the evolution of cooperation in spatial prisoner's dilemma games. Compared with the results of heterogeneous networks, we find that there is a relatively low initial fraction of cooperators to guarantee higher equilibrium cooperative level. While this interesting phenomenon is contrary to the commonly shared knowledge that higher initial fraction of cooperators can provide better environment for the evolution of cooperation. To support our outcome, we explore the time courses of cooperation and find that the whole course can be divided into two sequent stages: enduring (END) and expanding (EXP) periods. At the end of END period, thought there is a limited number of cooperator clusters left for the case of low initial setup, these clusters can smoothly expand to hold the whole system in the EXP period. However, for high initial fraction of cooperators, superfluous cooperator clusters hinder their effective expansion, which induces many remaining defectors surrounding the cooperator clusters. Moreover, through intensive analysis, we also demonstrate that when the tendency of three cooperation cluster characteristics (cluster size, cluster number and cluster shape) are consistent within END and EXP periods, the state that maximizes cooperation can be favored.
url http://europepmc.org/articles/PMC3820665?pdf=render
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