Moran process in evolutionary game dynamics with interval payoffs and its application
Qinchunxue Zhang,
Lan Shu and
Bichuan Jiang
Applied Mathematics and Computation, 2023, vol. 446, issue C
Abstract:
Moran process is an essential dynamic process of updating in stochastic evolutionary game dynamics for analyzing evolutionary game models with exact payoffs. The payoffs in the game are not crisp numbers because of how complicated and uncertain the environment is. Considering this problem, this work investigates the evolutionary game dynamics of Moran process with interval payoffs by using interval numbers to characterize the uncertainty in evolutionary games. Firstly, the interval fixation probability of the Moran process is derived under weak selection. Secondly, the conditions and the degrees of possibility for the dominant strategy in the population are calculated and the interval evolutionary equilibrium strategy is obtained. Then, the evolutionary game model under the prisoner’s dilemma is studied with the interval Moran process. Finally, the evolutionary process of the enterprise epidemic prevention strategy is studied with an evolutionary game model based on the interval Moran process. In addition, the influence of the uncertainty of local government regulation and public supervision on the choice of enterprise epidemic prevention strategies is analyzed by comparing numerical examples, and the superiority of the method in practical application is verified.
Keywords: Interval number; Interval moran process; Interval fixation probability; Enterprise epidemic prevention strategy; Evolutionary dynamics (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300323000449
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:446:y:2023:i:c:s0096300323000449
DOI: 10.1016/j.amc.2023.127875
Access Statistics for this article
Applied Mathematics and Computation is currently edited by Theodore Simos
More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().