Asymmetric players in Prisons Dilemma Game

Zhen Han, Peican Zhu, Jinling Yang and Jie Yang

Chaos, Solitons & Fractals, 2023, vol. 174, issue C

Abstract: Evolutionary game theory can solve social dilemmas in multiple areas. There are examples in the literature of the use of this approach to analyze topics like economics, social behavior, politics, ecology, etc. In this paper, we propose that evolutionary game theory can be applied to rationalizing human history, especially for understanding warfare and conflicts. Warfare determines the fate of a state and the survival of individuals; this concept can be gleaned from Sun-Tzu, “War is a matter of vital importance to the state; a matter of life or death, the road either to survival or to ruin”. It is evident that the opponents in the war are rarely of equal strength, and that differences in strength exist on all battlefields. Based on numerous examples of warfare in human history, we will propose a new point of view for this research topic, i.e. how asymmetric players choose their strategies in the conflict, and how they will alter their strategies when additional asymmetric players get involved.

Keywords: Evolutionary game theory; Prisons Dilemma Game; Asymmetric players; Spatial lattices network (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/S0960077923007932
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:chsofr:v:174:y:2023:i:c:s0960077923007932

DOI: 10.1016/j.chaos.2023.113892

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().