TY - JOUR
T1 - The effects of heterogeneity of updating rules on cooperation in spatial network
AU - You, Tao
AU - Wang, Peng
AU - Jia, Danyang
AU - Yang, Fei
AU - Cui, Xiaodong
AU - Liu, Chen
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/5/1
Y1 - 2020/5/1
N2 - The emergence and maintenance of cooperation remains to be one of the overreaching problems and a number of scholars have devoted endless efforts to resolve such problems. To further explore this issue, we focus on the impact of heterogeneity of updating rules on cooperative behavior in voluntary prisoner's dilemma; here, two types of strategy updating rules are considered to mimic social facts which are listed as strategy learning mechanism and strategy teaching mechanism. The stability of different mechanisms on promoting cooperation is thoroughly investigated in this manuscript. Numerical simulations are conducted while corresponding results are presented with sufficient clarifications. We find that the strategy learning mechanism can promote cooperation steadily. However, with the variance in the proportion of the two update rules in the investigated community, the strategy teaching mechanism seems to be more sensitive. Moreover, compared with strategy learning mechanism, strategy teaching mechanism plays a more important and apparent role in promoting cooperation. We also find that personal strategy is sensitive to the varying of Loner's payoff σ, especially when σ is close to 1. We hope our findings will shed some lights on resolving the social dilemmas.
AB - The emergence and maintenance of cooperation remains to be one of the overreaching problems and a number of scholars have devoted endless efforts to resolve such problems. To further explore this issue, we focus on the impact of heterogeneity of updating rules on cooperative behavior in voluntary prisoner's dilemma; here, two types of strategy updating rules are considered to mimic social facts which are listed as strategy learning mechanism and strategy teaching mechanism. The stability of different mechanisms on promoting cooperation is thoroughly investigated in this manuscript. Numerical simulations are conducted while corresponding results are presented with sufficient clarifications. We find that the strategy learning mechanism can promote cooperation steadily. However, with the variance in the proportion of the two update rules in the investigated community, the strategy teaching mechanism seems to be more sensitive. Moreover, compared with strategy learning mechanism, strategy teaching mechanism plays a more important and apparent role in promoting cooperation. We also find that personal strategy is sensitive to the varying of Loner's payoff σ, especially when σ is close to 1. We hope our findings will shed some lights on resolving the social dilemmas.
KW - Cooperation
KW - Heterogeneity
KW - Learning updating mechanism
KW - Teaching updating mechanism
KW - Voluntary prisoner's dilemma
UR - http://www.scopus.com/inward/record.url?scp=85077324926&partnerID=8YFLogxK
U2 - 10.1016/j.amc.2019.124959
DO - 10.1016/j.amc.2019.124959
M3 - 文章
AN - SCOPUS:85077324926
SN - 0096-3003
VL - 372
JO - Applied Mathematics and Computation
JF - Applied Mathematics and Computation
M1 - 124959
ER -