Promotion of cooperation based on swarm intelligence in spatial public goods games

Ya-Shan Chen, Han-Xin Yang, Wen-Zhong Guo and Geng-Geng Liu

Applied Mathematics and Computation, 2018, vol. 320, issue C, 614-620

Abstract: In this paper, we introduce the swarm intelligence methods into the evolutionary dynamics, and have studied the impact of swarm intelligent algorithm on the evolution of cooperation among selfish individuals in the continuous version of spatial public goods games (PGG). We update an individual’s strategy according to the memory which records the most successful individual strategy in the past (referred to as its personal best strategy) as well as the knowledge of the best current strategy found by its nearest neighbors (referred to as the neighborhood best strategy). Through extensive simulations, we find that the introduction of swarm intelligence into PGG can promote cooperation strongly. Other pertinent quantities such as the time evolution of cooperator density, the spatial distribution of strategies and the updated velocities are also investigated.

Keywords: Swarm intelligence; Public goods games; Square lattice; Cooperation (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:320:y:2018:i:c:p:614-620

DOI: 10.1016/j.amc.2017.10.022

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