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Partner Choice Cooperation in Prisoner’s Dilemma
Qi Wang,Zhaojin Xu,Lianzhong Zhang 한국물리학회 2017 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.71 No.12
In this paper, we investigated the cooperative behavior in prisoner’s dilemma when the individual behaviors and interaction structures could coevolve. Here, we study the model that the individuals can imitate the strategy of their neighbors and rewire their social ties throughout evolution, based exclusively on a fitness comparison. We find that the cooperation can be achieved if the time scale of network adaptation is large enough, even when the social dilemma strength is very strong. Detailed investigation shows that the presence or absence of the network adaptation has a profound impact on the collective behavior in the system.
Evolutionary Public Goods Game on Evolving Random Networks
Qing Liu,Zhaojin Xu,Lianzhong Zhang 한국물리학회 2018 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.72 No.4
In this paper, we investigated the public goods game (PGG) on evolving random networks by introducing informed cooperators (IC) who can adjust their local topology of networks according to the information they obtained at cost. Our research shows that a high rate of network updating may provide a favorable environment for cooperation to emerge and thrive. In particular, we have found that the informed cooperators may separate the defectors (D) out and form an isolated population of cooperative strategies under adverse conditions.
Heterogeneity of Networks Promotes Cooperation in the Prisoner's Dilemma and the Snowdrift Game
Ruyu Li,Zhaojin Xu,Lianzhong Zhang 한국물리학회 2019 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.74 No.9
Complex networks are ubiquitous in real-world systems. In the last decade, the investigation of complex networks has received much attention. Most of this research suggests that the topological properties of networks have an important influence on the evolution of cooperation. In this paper, we used the prisoner's dilemma game and snowdrift game as models to study the problem of cooperation evolution on heterogeneous random networks. We found that the heterogeneity of the networks plays a more important role in promoting cooperation than the average clustering coefficient and average path length of the networks do. The higher the heterogeneity of the networks is, the more conducive the emergence and spread of cooperation is. In addition, we found that increasing the average degree of networks would be detrimental for cooperation to thrive.
Non-Fixed Investment in Voluntary Public Goods Games
Shuai Wang,Zhaojin Xu,Lianzhong Zhang 한국물리학회 2018 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.72 No.9
In this work, we introduce a non-fixed investment ratio to the public goods games in which players can determine whether or not to participate and how much money to invest into the common pool, and with it a new mechanism has been established. We explicitly demonstrate a different rockscissors- paper dynamics which is a consequence of this model. Meanwhile, it is shown how the mechanism of non-fixed investment ratio in uences the players' decision. In addition, we found that the length of memory has an important effect on the average payoff of the population by this introduction.
Role of Preferential Words in Language Formation
Juan Li,Zhaojin Xu,Zhongwei Wu,Lianzhong Zhang 한국물리학회 2012 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.61 No.1
The Naming Game (NG) describes the emergence of conventions and shared lexicons in a population of agents interacting in a pairwise fashion. In this work, we introduce a new yet simple speakers’ rule into a minimal Naming Game where the speaker is more likely to choose the successful word in her earlier history and to convey it to the hearer. We find that the convergence time decreases with the increasing weight of successful words, which indicates that preferential selection of successful words may accelerate the reaching of consensus.