English

Public Goods Games on Adaptive Coevolutionary Networks

Physics and Society 2017-07-21 v1 Adaptation and Self-Organizing Systems Populations and Evolution

Abstract

Productive societies feature high levels of cooperation and strong connections between individuals. Public Goods Games (PGGs) are frequently used to study the development of social connections and cooperative behavior in model societies. In such games, contributions to the public good are made only by cooperators, while all players, including defectors, can reap public goods benefits. Classic results of game theory show that mutual defection, as opposed to cooperation, is the Nash Equilibrium of PGGs in well-mixed populations, where each player interacts with all others. In this paper, we explore the coevolutionary dynamics of a low information public goods game on a network without spatial constraints in which players adapt to their environment in order to increase individual payoffs. Players adapt by changing their strategies, either to cooperate or to defect, and by altering their social connections. We find that even if players do not know other players' strategies and connectivity, cooperation can arise and persist despite large short-term fluctuations.

Keywords

Cite

@article{arxiv.1609.05542,
  title  = {Public Goods Games on Adaptive Coevolutionary Networks},
  author = {Avi M. Shapiro and Elgar Pichler},
  journal= {arXiv preprint arXiv:1609.05542},
  year   = {2017}
}

Comments

11 pages, 13 figures

R2 v1 2026-06-22T15:53:34.552Z