Optimization of mobile individuals promotes cooperation in social dilemmas. (December 2020)

• Record Type: Journal Article
• Authors: Li, Wen-Jing; Jiang, Luo-Luo; Chen, Zhi; Perc, Matjaž; Slavinec, Mitja
• Is Part Of: Chaos, solitons and fractals. Volume 141(2020)
• Publication Date: 2020-12
• Subjects: Cooperation -- Mobility -- Social dilemma -- Evolutionary game theory; Chaotic behavior in systems -- Periodicals; Solitons -- Periodicals; Fractals -- Periodicals; Chaotic behavior in systems; Fractals; Solitons; Periodicals; 003.7
• DOI: 10.1016/j.chaos.2020.110425
• Languages: English
• ISSNs: 0960-0779

Abstract

Highlights: We introduce mobile individuals who can choose mobility over strategy updating We do Monte Carlo simulations of the prisoner's dilemma game to determine stationary states We show that mobility, under certain conditions, is favorable for the evolution of cooperation Optimal mobility yields higher payoffs to the individual who moved and its new community Pattern formation, in particular larger and more compact cooperative clusters, play a crucial role Abstract: We study how mobile individuals affect the evolution of cooperation in social dilemmas. In doing so, we consider two types of players. The traditional type simply copies the most successful strategy in its neighborhood in order to improve its future payoff, while the advantageous type moves away in the hope of settling in a better community. We show that the introduction of the advantageous type leads to larger and more compact cooperative clusters in the prisoner's dilemma game. This in turn facilitates the evolutionary stability of cooperation even under adverse conditions that are characterized by high temptations to defect. We also verify that the average payoff of a community unit remains proportional to the number of cooperators in this community, which hence indicates that the players pursuing mobility to attain a competitive advantage also foster cooperation in their new communities. Another way to communicate this result in the light of the costs associated with moving is to say that optimal mobility, such that yields higher payoffs to the individual who moved and the community as a whole, is similar to the optimization of the allocation of limited resources. We thus hope that these results will shed new light on how to effectively allocate resources and how to optimize mobility for optimal cooperation.