Eco-evolutionary games for harvesting self-renewing common resource: effect of growing harvester population

• Published in: Journal of physic, complexity complexity, 2023-06, Vol.4 (2), p.25002
• Main Authors: Bairagya, Joy Das, Mondal, Samrat Sohel, Chowdhury, Debashish, Chakraborty, Sagar
• Format: Article
• Language: English
• Subjects: dynamic games; evolutionary games; limit cycles; natural resources; noncooperative game; prisoner’s dilemma
• ISSN: 2632-072X; 2632-072X
• DOI: 10.1088/2632-072X/acc5cb

The tragedy of the commons (TOCs) is a ubiquitous social dilemma witnessed in interactions between a population of living entities and shared resources available to them: the individuals in the population tend to selfishly overexploit a common resource as it is arguably the rational choice, or in case of non-human beings, it may be an evolutionarily uninvadable action. How to avert the TOC is a significant problem related to the conservation of resources. It is not hard to envisage situations where the resource could be self-renewing and the size of the population may be dependent on the state of the resource through the fractions of the population employing different exploitation rates. If the self-renewal rate of the resource lies between the maximum and the minimum exploitation rates, it is not a priori obvious under what conditions the TOC can be averted. In this paper, we address this question analytically and numerically using the setup of an evolutionary game theoretical replicator equation that models the Darwinian tenet of natural selection. Through the replicator equation, while we investigate how a population of replicators exploit the shared resource, the latter’s dynamical feedback on the former is also not ignored. We also present a transparent bottom-up derivation of the game-resource feedback model to facilitate future studies on the stochastic effects on the findings presented herein.