Individual wealth-based selection supports cooperation in spatial public goods games
Xiaojie Chen, Attila Szolnoki

TL;DR
This paper introduces a model combining probabilistic participation with wealth-based criteria in spatial public goods games, demonstrating that wealth thresholds enhance cooperation and network reciprocity.
Contribution
It presents a novel wealth-based participation rule that significantly promotes cooperation in spatial public goods games beyond existing probabilistic models.
Findings
Wealth-based participation expands the parameter space for cooperation.
Structured populations outperform well-mixed ones with wealth criteria.
Network reciprocity is notably enhanced by wealth thresholds.
Abstract
In a social dilemma game group members are allowed to decide if they contribute to the joint venture or not. As a consequence, defectors, who do not invest but only enjoy the mutual benefit, prevail and the system evolves onto the tragedy of the common state. This unfortunate scenario can be avoided if participation is not obligatory but only happens with a given probability. But what if we also consider a player's individual wealth when to decide about participation? To address this issue we propose a model in which the probabilistic participation in the public goods game is combined with a conditional investment mode that is based on individual wealth: if a player's wealth exceeds a threshold value then it is qualified and can participate in the joint venture. Otherwise, the participation is forbidden in the investment interactions. We show that if only probabilistic participation is…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Evolutionary Psychology and Human Behavior · Experimental Behavioral Economics Studies
