Evolution of cooperation through aspiration-based adjustment of interaction range in spatial prisoner’s dilemma game
Xu Han,
Xiaowei Zhao and
Haoxiang Xia
Applied Mathematics and Computation, 2021, vol. 393, issue C
Abstract:
Neighborhood size is an important factor in the spatial prisoner’s dilemma game. Traditional static interaction range does not adapt to the dynamic social environment. Therefore, it is necessary to study the adaptive adjustment mechanism of the interaction range. In order to enhance the adaptability of individuals to the dynamic social environment, in this paper we propose an interaction range adjustment mechanism based on the aspiration of payoff. Specifically, the interaction range tends to expand according to a certain probability when the current actual payoff reaches or exceeds the aspired payoff. Otherwise, the interaction range will shrink with a certain probability. Simulation results show that such a mechanism of interaction range adjustment can remarkably promote cooperation. The probability of adjusting the interaction range has a great impact on cooperation evolution. Cooperation can be effectively established in a population in which individuals are with higher shrinkage and lower expansion probabilities. Moreover, the aspiration level is an important factor to affect the effectiveness of the interaction range adjustment. Larger aspiration level is more advantageous to promoting cooperation when the aspiration level is less than 1, while cooperators cannot survive when the aspiration level is larger than 1. The underlying mechanism is furthermore explored, revealing that the ‘isolation zones’ composed of individuals with zero interaction radius play an important role in promoting cooperation.
Keywords: Cooperation evolution; Interaction range adjustment; Aspiration level; 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 (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300320306998
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:393:y:2021:i:c:s0096300320306998
DOI: 10.1016/j.amc.2020.125746
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 ().