Effects of Stochastic Games on Evolutionary Dynamics in Structured Populations
Yuji Zhang, Minyu Feng, Qin Li, Matjaz Perc, Attila Szolnoki

TL;DR
This paper provides an analytical framework for understanding how stochastic game transitions influence the evolution of cooperation in heterogeneous structured populations, revealing that effects vary with game type and environmental dynamics.
Contribution
It introduces a general analytical approach to study cooperation in stochastic games with spatial heterogeneity, extending beyond previous homogeneous models.
Findings
Stochastic games promote cooperation in donation games.
They do not necessarily support cooperation in public goods and snowdrift games.
Game change frequency and rules significantly affect evolutionary outcomes.
Abstract
Continuously changing environments have a paramount role in the evolution of cooperative behavior. Previous works have shown that the transitions among different games, as the feedback between behaviors and environments, can promote cooperative behavior significantly. Quantitative analysis, however, is limited to homogeneous populations, while realistic populations in nature are often more complex and highly heterogeneous. We hereby provide an analytical treatment of when the evolution of cooperation can be supported in stochastic games, applying to arbitrary spatial heterogeneity and payoff structure. We highlight that the rule and frequency of game changes can have surprisingly diverse effects on evolutionary outcomes, depending on the governing social dilemmas. While stochastic games favor the evolution of cooperation in donation games, this is not the case for public goods games and…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Game Theory and Applications · Experimental Behavioral Economics Studies
