EconPapers    
Economics at your fingertips  
 

Environmental-based defensive promotes cooperation in the prisoner’s dilemma game

Liyan Gao, Qiuhui Pan and Mingfeng He

Applied Mathematics and Computation, 2021, vol. 401, issue C

Abstract: In real life, individuals tend to be self-interested. The defectors exploit the cooperators for high payoffs, and the cooperators take defensive measures to reduce their own losses. Since the defensive behavior of cooperators is affected by environmental factors, this paper proposes an environmental-based defensive game model in the well-mixed population. Theoretical analysis shows that when cooperators do not have the defensive awareness, all the individuals choose defection. When cooperators have defensive awareness, the cooperators can survive in the fierce competition, so as to realize the stable coexistence of cooperation and defection. If all the cooperators have defensive awareness, the system can reach an evolutionary stable state of full cooperation. Through abundant numerical calculations, it is found that when the temptation is small and the defensive probability is large, the cooperation fraction is significantly affected by the threshold. Furthermore, the stronger the defensive awareness, the higher the cooperation fraction. As long as there are cooperators in the population who take defensive measures, a state of full defection can be avoided. Reducing the defensive cost and increasing the defensive benefit as well as the defensive loss are conducive to enhance cooperation level. In a word, defensive behavior promotes cooperation, which provides a new perspective for understanding the emergence of cooperation.

Keywords: Environmental factors; Defensive behavior; Cooperation evolutionary; Prisoner’s dilemma game (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300321001223
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:401:y:2021:i:c:s0096300321001223

DOI: 10.1016/j.amc.2021.126074

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:401:y:2021:i:c:s0096300321001223