Social diversity and promotion of cooperation in the spatial prisoner's dilemma game.

By Matjaz Perc, Attila Szolnoki. Physical review. E, Statistical, nonlinear, and soft matter physics, 2007

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The diversity in wealth and social status is present not only among humans, but throughout the animal world. We account for this observation by generating random variables that determine the social diversity of players engaging in the prisoner's dilemma game. Here the term social diversity is used to address extrinsic factors that determine the mapping of game payoffs to individual fitness. These factors may increase or decrease the fitness of a player depending on its location on the spatial grid. We consider different distributions of extrinsic factors that determine the social diversity of players, and find that the power-law distribution enables the best promotion of cooperation. The facilitation of the cooperative strategy relies mostly on the inhomogeneous social state of players, resulting in the formation of cooperative clusters which are ruled by socially high-ranking players that are able to prevail against the defectors even when there is a large temptation to defect. To confirm this, we also study the impact of spatially correlated social diversity and find that cooperation deteriorates as the spatial correlation length increases. Our results suggest that the distribution of wealth and social status might have played a crucial role by the evolution of cooperation amongst egoistic individuals.

Subfields: Experimental and Cognitive Psychology, Genetics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/f64c6ef4459846b231055fa746b17aa6cab814f5

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Citations in the corpus

Win-Stay-Lose-Learn Promotes Cooperation in the Spatial Prisoner's Dilemma Game (2012, background): “Other approaches facilitating the evolution of cooperation include the introduction of noise to payoffs and updating rules [33–38], asymmetry between interaction and replacement graphs [39,40], diversity [41–44], differences between time scales of game dynamics [44–47], as well as adoption of simult”
Coevolutionary games - A mini review (2009, positive): “Heterogeneity of players has been explored as a beneficial condition for cooperation in several forms (Wu et al., 2006b; Perc and Szolnoki, 2008; Fort, 2008b; Masuda, 2008).”
Statistical physics of human cooperation (2017, background): “Studies that are unique to physicists have led to significant advances in our understanding of the evolution of cooperation, for example by expanding our understanding of the role of heterogeneity of interaction networks [32] or competing agents [44,45], the dynamical organization of cooperation [34”