The emergence and implementation of pool exclusion in spatial public goods game with heterogeneous ability-to-pay

Junjun Zheng, Tianyu Ren, Gang Ma and Jinhui Dong

Applied Mathematics and Computation, 2021, vol. 394, issue C

Abstract: Exploring the conditions and mechanisms for the emergence of cooperation in human society has important theoretical and practical significance. Social exclusion has been considered a powerful sanction for promoting and sustaining cooperation. However, whether the heterogeneity of the ability-to-pay of individuals can still favor cooperation when exclusion is introduced remains unclear. On the basis of this consideration, the dynamic cost of pool exclusion is taken into account in the public goods game, which focuses on the evolution process of each strategy in a square lattice. Specifically, we describe the cost of exclusion behavior as a function of payoff, while the probability of exclusion depends on the former. Through conducting Monte Carlo simulations, the effects of parameters on the evolution of cooperation are investigated. The results indicate that pool exclusion can promote cooperative behaviors within a wide range of parameters. Moreover, structured populations can form an effective alliance to sweep out defection, which requires a few excluders. This alliance continues to function even under strong dilemma strength. We further confirm that overinvestment in exclusion is unwanted. These results may help researchers better understand the emergence and implementation of social exclusion, and provide new insight into the analysis of the origin of cooperation for further exploration.

Keywords: Evolutionary game theory; Heterogeneous ability-to-pay; Social exclusion; Spatial public goods game (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:394:y:2021:i:c:s0096300320307888

DOI: 10.1016/j.amc.2020.125835

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