Stochastically stable equilibria for evolutionary snowdrift games with time costs
Jinxiu Pi,
Guanghui Yang,
Wei Tang and
Hui Yang
Physica A: Statistical Mechanics and its Applications, 2022, vol. 604, issue C
Abstract:
In this paper, we first construct a generalized N-person snowdrift game with time costs and assume that defectors have two types of psychological preferences for time costs compared to cooperators. Secondly, using the stochastic replicator equation, we investigate the equilibria for the generalized N-person snowdrift games and obtain a sufficient and necessary condition corresponding to a unique stochastically stable equilibrium. Besides, we perform several numerical simulations and find that theoretical and numerical results are consistent, and the effects of these two psychological preferences on the equilibria are significantly different in systems with a smaller group size and threshold. Finally, through comparative analysis, we confirm that the cooperation can be promoted with the increases of the threshold, the benefits and time costs; conversely, the cooperation can be curbed with increasing the group size and the costs. Interestingly, the influence of the adjustment factor on the final frequency of cooperators is not as drastic as that of the group size and the threshold.
Keywords: Replicator dynamics; Stochastic stability; N-person snowdrift games; Time costs (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437122005908
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
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:phsmap:v:604:y:2022:i:c:s0378437122005908
DOI: 10.1016/j.physa.2022.127927
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().