Cooperative Behavior in N-person Evolutionary Snowdrift Game on Barab\'asi-Albert Network with Link Rewiring Mechanism

2015 ◽  
Vol 12 (11) ◽  
pp. 4519-4529 ◽  
Author(s):  
Xiaowen Zhong
Keyword(s):  
Cooperative Behavior ◽  
Snowdrift Game

scholarly journals Stochasticity, Selection, and the Evolution of Cooperation in a Two-Level Moran Model of the Snowdrift Game

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Brian McLoone ◽  
Wai-Tong Louis Fan ◽  
Adam Pham ◽  
Rory Smead ◽  
Laurence Loewe
Keyword(s):  
Stochastic Dynamics ◽  
Cooperative Behavior ◽  
Social Dilemma ◽  
Threshold Effect ◽  
Payoff Matrix ◽  
Multilevel Selection ◽  
Evolution Of Cooperation ◽  
Interior Equilibrium ◽  
Moran Model ◽  
Snowdrift Game

The Snowdrift Game, also known as the Hawk-Dove Game, is a social dilemma in which an individual can participate (cooperate) or not (defect) in producing a public good. It is relevant to a number of collective action problems in biology. In a population of individuals playing this game, traditional evolutionary models, in which the dynamics are continuous and deterministic, predict a stable, interior equilibrium frequency of cooperators. Here, we examine how finite population size and multilevel selection affect the evolution of cooperation in this game using a two-level Moran process, which involves discrete, stochastic dynamics. Our analysis has two main results. First, we find that multilevel selection in this model can yield significantly higher levels of cooperation than one finds in traditional models. Second, we identify a threshold effect for the payoff matrix in the Snowdrift Game, such that below (above) a determinate cost-to-benefit ratio, cooperation will almost surely fix (go extinct) in the population. This second result calls into question the explanatory reach of traditional continuous models and suggests a possible alternative explanation for high levels of cooperative behavior in nature.

Spatial snowdrift game of a heterogeneous agent system: cooperative behavior

2013 ◽  
Vol 86 (4) ◽  
Author(s):  
Ping-Ping Li ◽  
Jianhong Ke ◽  
Luo-Luo Jiang ◽  
Xian-Zhang Yuan ◽  
Zhenquan Lin
Keyword(s):  
Cooperative Behavior ◽  
Agent System ◽  
Heterogeneous Agent ◽  
Snowdrift Game

Influence of vertex weight on cooperative behavior in a spatial snowdrift game

2011 ◽  
Vol 84 (2) ◽  
pp. 025802 ◽  
Author(s):  
C Y Xia ◽  
J Zhao ◽  
J Wang ◽  
Y L Wang ◽  
H Zhang
Keyword(s):  
Cooperative Behavior ◽  
Vertex Weight ◽  
Snowdrift Game

EVOLUTIONARY GAMES IN MULTI-AGENT SYSTEMS OF WEIGHTED SOCIAL NETWORKS

2009 ◽  
Vol 20 (05) ◽  
pp. 701-710 ◽  
Author(s):  
WEN-BO DU ◽  
XIAN-BIN CAO ◽  
HAO-RAN ZHENG ◽  
HONG ZHOU ◽  
MAO-BIN HU
Keyword(s):  
Cooperative Behavior ◽  
Social Systems ◽  
Evolutionary Game ◽  
Evolutionary Games ◽  
Evolution Of Cooperation ◽  
Multi Agent Systems ◽  
Snowdrift Game ◽  
Cooperation Level ◽  
The Social ◽  
Multi Agent

Much empirical evidence has shown realistic networks are weighted. Compared with those on unweighted networks, the dynamics on weighted network often exhibit distinctly different phenomena. In this paper, we investigate the evolutionary game dynamics (prisoner's dilemma game and snowdrift game) on a weighted social network consisted of rational agents and focus on the evolution of cooperation in the system. Simulation results show that the cooperation level is strongly affected by the weighted nature of the network. Moreover, the variation of time series has also been investigated. Our work may be helpful in understanding the cooperative behavior in the social systems.

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