TY - JOUR
T1 - Neighbor-considered migration facilitates cooperation in prisoner's dilemma games
AU - Ren, Yizhi
AU - Chen, Xiangyu
AU - Wang, Zhen
AU - Shi, Benyun
AU - Cui, Guanghai
AU - Wu, Ting
AU - Choo, Kim Kwang Raymond
N1 - Funding Information:
This work was supported by the Natural Science Foundation of Zhejiang Province (Grant Nos. LY18F020017 , and LY18F030007 ), Key R&D Program of Zhejiang Province (Grant No. 2017C01062) and National Natural Science Foundation of China (Grant Nos. 61402141 , 81402760 , and 61403059 ).
PY - 2018/4/15
Y1 - 2018/4/15
N2 - Migration (e.g. between cities and nations) has been shown to be an effective mechanism in facilitating the evolution of cooperation in spatial games. In contingent migration (e.g. success-driven migration), individuals choose the relocation place based on their expected payoffs. In other words, success-driven migration assumes that individuals make decisions about where to migrate strategically rather than randomly. Existing behavioral experiments have shown that human have other-regarding preference. In this paper, we study individuals’ cooperation behaviors in the prisoner's dilemma game on a two-dimensional square lattice, where individuals have other-regarding migration preference. We introduce a neighbor-considered migration strategy, which considers both benefits of individuals and their neighbors. During the migration process, an individual always moves to a reachable empty site with the highest fairness payoff, which takes the benefit of all relevant stakeholders (including the particular individual and the neighbors) into consideration. We explore the effect of the different fairness, while considering the individuals when they weigh their own interests and their neighbors’ interests. Our simulation results indicate that neighbor-considered migration can effectively promote the level of cooperation by helping cooperative clusters evade the invasion of defectors.
AB - Migration (e.g. between cities and nations) has been shown to be an effective mechanism in facilitating the evolution of cooperation in spatial games. In contingent migration (e.g. success-driven migration), individuals choose the relocation place based on their expected payoffs. In other words, success-driven migration assumes that individuals make decisions about where to migrate strategically rather than randomly. Existing behavioral experiments have shown that human have other-regarding preference. In this paper, we study individuals’ cooperation behaviors in the prisoner's dilemma game on a two-dimensional square lattice, where individuals have other-regarding migration preference. We introduce a neighbor-considered migration strategy, which considers both benefits of individuals and their neighbors. During the migration process, an individual always moves to a reachable empty site with the highest fairness payoff, which takes the benefit of all relevant stakeholders (including the particular individual and the neighbors) into consideration. We explore the effect of the different fairness, while considering the individuals when they weigh their own interests and their neighbors’ interests. Our simulation results indicate that neighbor-considered migration can effectively promote the level of cooperation by helping cooperative clusters evade the invasion of defectors.
KW - Evolution of cooperation
KW - Neighbor-considered migration
KW - Prisoner's dilemma games
KW - Spatial migration
UR - http://www.scopus.com/inward/record.url?scp=85037807712&partnerID=8YFLogxK
U2 - 10.1016/j.amc.2017.11.043
DO - 10.1016/j.amc.2017.11.043
M3 - Journal article
AN - SCOPUS:85037807712
SN - 0096-3003
VL - 323
SP - 95
EP - 105
JO - Applied Mathematics and Computation
JF - Applied Mathematics and Computation
ER -