 Ability-based asymmetrical fitness calculation promotes cooperation in spatial prisoner's dilemma gameXiaoyu Li, Danyang Jia, Xiaotong Niu, Chen Liu, Peican Zhu, Dujuan Liu and Chen Chu Applied Mathematics and Computation, 2022, vol. 412, issue C Abstract: We investigate the ability-based fitness calculation in an asymmetric setup to the evolution of cooperation on square lattice. In particular, if players can maintain its strategy for a round, then its abilities will increase 1, otherwise, its ability will turn to 0. We also assume that if players’ abilities exceed a certain threshold M, then its environment is integrated into its fitness calculation via a simple parameter α. Through extensive numerical simulation, we find that large threshold M decreases cooperation, and large α, players’ fitness is mainly decided by its dynamical environment, promotes cooperation. We also provide theoretical analysis and get the same results with simulation. Finally, we test its robustness on homogeneous random network and small-world network. Our work provides a deeper insight to network reciprocity. Keywords: Evolutionary dynamics; Ability Prisoner's dilemma game; Social dilemma (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:412:y:2022:i:c:s0096300321006561 DOI: 10.1016/j.amc.2021.126572 Access Statistics for this article Applied Mathematics and Computation is currently edited by Theodore Simos More articles in Applied Mathematics and Computation from Elsevier |
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