Heterogeneous Aspirations Promote Cooperation in the Prisoner's Dilemma Game
By Matjaz Perc, Zhen Wang. PLoS ONE, 2010
345 citations recorded by the source corpus.
To be the fittest is central to proliferation in evolutionary games. Individuals thus adopt the strategies of better performing players in the hope of successful reproduction. In structured populations the array of those that are eligible to act as strategy sources is bounded to the immediate neighbors of each individual. But which one of these strategy sources should potentially be copied? Previous research dealt with this question either by selecting the fittest or by selecting one player uniformly at random. Here we introduce a parameter that interpolates between these two extreme options. Setting equal to zero returns the random selection of the opponent, while positive favor the fitter players. In addition, we divide the population into two groups. Players from group select their opponents as dictated by the parameter , while players from group do so randomly irrespective of . We denote the fraction of players contained in groups and by and , respectively. The two parameters and allow us to analyze in detail how aspirations in the context of the prisoner's dilemma game influence the evolution of cooperation. We find that for sufficiently positive values of there exist a robust intermediate for which cooperation thrives best. The robustness of this observation is tested against different levels of uncertainty in the strategy adoption process and for different interaction networks. We also provide complete phase diagrams depicting the dependence of the impact of and for different values of , and contrast the validity of our conclusions by means of an alternative model where individual aspiration levels are subject to evolution as well. Our study indicates that heterogeneity in aspirations may be key for the sustainability of cooperation in structured populations.
Subfields: Ecology, Evolution, Behavior and Systematics, Genetics, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/6855b15be5541bf6852984f2cd1d13574c529f19
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In Ecology, Evolution, Behavior and Systematics
In Genetics
- Matjaz Perc
- Zhen Wang
- Jesús Gómez-Gardeñes
- Stefano Boccaletti
- Long Wang
- Xiaojie Chen
- Lin Zhang
- Yongkui Liu
In Sociology and Political Science
- Matjaz Perc
- Zhen Wang
- Stefano Boccaletti
- Jesús Gómez-Gardeñes
- Long Wang
- Xiaojie Chen
- Lin Zhang
- Yongkui Liu
Citations in the corpus
- Win-Stay-Lose-Learn Promotes Cooperation in the Spatial Prisoner's Dilemma Game (2012, background): “In [72] a payoffbased preferential learning mechanism was investigated (where individuals with higher payoffs are more likely to be imitated), and in [73] an aspiration-based preferential learning mechanism was studied where an individual whose strategy can provide the desired payoff when being imit”
- The structure and dynamics of multilayer networks (2014, background): “Furthermore, it is instructive to examine how the cooperative behavior survives on the coevolution framework, in which the heterogeneity is usually ubiquitous [360,361].”