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相关论文: Evolutionary prisoner's dilemma game with dynamic …

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We study co-evolutionary Prisoner's Dilemma games where each player can imitate both the strategy and imitation rule from a randomly chosen neighbor with a probability dependent on the payoff difference when the player's income is collected…

物理与社会 · 物理学 2009-11-04 Gyorgy Szabo , Attila Szolnoki , Jeromos Vukov

We study the emergency of mutual cooperation in evolutionary prisoner's dilemma games when the players are located on a square lattice. The players can choose one of the three strategies: cooperation (C), defection (D) or "tit for tat" (T),…

统计力学 · 物理学 2015-06-24 Gyorgy Szabo , Tibor Antal , Peter Szabo , Michel Droz

A simplified prisoner's game is studied on a square lattice when the players interacting with their neighbors can follow only two strategies: to cooperate (C) or to defect (D) unconditionally. The players updated in a random sequence have a…

统计力学 · 物理学 2009-10-30 Gyorgy Szabo , Csaba Toke

An evolutionary prisoner's dilemma (PD) game is studied with players located on a hierarchical structure of layered square lattices. The players can follow two strategies [D (defector) and C (cooperator)] and their income comes from PD…

统计力学 · 物理学 2009-11-10 Jeromos Vukov , Gyorgy Szabo

The emergence of mutual cooperation is studied in a spatially extended evolutionary prisoner's dilemma game in which the players are located on the sites of cubic lattices for dimensions d=1, 2, and 3. Each player can choose one of the…

统计力学 · 物理学 2009-10-31 Gyorgy Szabo , Tibor Antal , Peter Szabo , Michel Droz

Competition among cooperators, defectors, and loners is studied in an evolutionary prisoner's dilemma game with optional participation. Loners are risk averse i.e. unwilling to participate and rather rely on small but fixed earnings. This…

无序系统与神经网络 · 物理学 2009-11-07 Gyorgy Szabo , Christoph Hauert

We study the evolution of cooperation in the spatial prisoner's dilemma game where players are allowed to establish new interactions with others. By employing a simple coevolutionary rule entailing only two crucial parameters, we find that…

物理与社会 · 物理学 2011-12-30 Chunyan Zhang , Jianlei Zhang , Guangming Xie , Long Wang , Matjaz Perc

Evolutionary Prisoner's Dilemma games with quenched inhomogeneities in the spatial dynamical rules are considered. The players following one of the two pure strategies (cooperation or defection) are distributed on a two-dimensional lattice.…

种群与进化 · 定量生物学 2007-05-23 Attila Szolnoki , Gyorgy Szabo

In spatial games players typically alter their strategy by imitating the most successful or one randomly selected neighbor. Since a single neighbor is taken as reference, the information stemming from other neighbors is neglected, which…

物理与社会 · 物理学 2012-11-01 Xiaofeng Wang , Matjaz Perc , Yongkui Liu , Xiaojie Chen , Long Wang

We study a spatial two-strategy (cooperation and defection) Prisoner's Dilemma game with two types ($A$ and $B$) of players located on the sites of a square lattice. The evolution of strategy distribution is governed by iterated strategy…

物理与社会 · 物理学 2009-01-15 Gyorgy Szabo , Attila Szolnoki

Evolution of cooperation in the prisoner's dilemma game is studied where initially all players are linked via a regular graph, having four neighbors each. Simultaneously with the strategy evolution, players are allowed to make new…

物理与社会 · 物理学 2009-03-27 Attila Szolnoki , Matjaz Perc , Zsuzsa Danku

We study a spatial Prisoner's dilemma game with two types (A and B) of players located on a square lattice. Players following either cooperator or defector strategies play Prisoner's Dilemma games with their 24 nearest neighbors. The…

物理与社会 · 物理学 2015-05-13 Michel Droz , Janusz Szwabiński , György Szabó

We study a model for switching strategies in the Prisoner's Dilemma game on adaptive networks of player pairings that coevolve as players attempt to maximize their return. We use a node-based strategy model wherein each player follows one…

社会与信息网络 · 计算机科学 2017-07-25 Hsuan-Wei Lee , Nishant Malik , Peter J. Mucha

Holding on to one's strategy is natural and common if the later warrants success and satisfaction. This goes against widespread simulation practices of evolutionary games, where players frequently consider changing their strategy even…

种群与进化 · 定量生物学 2012-05-04 Yongkui Liu , Xiaojie Chen , Lin Zhang , Long Wang , Matjaz Perc

Maintenance of cooperation was studied for a two-strategy evolutionary Prisoner's Dilemma game where the players are located on a one-dimensional chain and their payoff comes from games with the nearest and next-nearest neighbor…

物理与社会 · 物理学 2008-02-20 Jeromos Vukov , György Szabó , Attila Szolnoki

Dynamics of evolutionary games strongly depend on underlying networks. We study the coevolutionary prisoner's dilemma in which players change their local networks as well as strategies (i.e., cooperate or defect). This topic has been…

物理与社会 · 物理学 2011-01-25 Yoshimi Yoshino , Naoki Masuda

A modified spatial prisoner's dilemma game with voluntary participation in Newman-Watts small-world networks is studied. Some reasonable ingredients are introduced to the game evolutionary dynamics: each agent in the network is a pure…

统计力学 · 物理学 2009-11-11 Zhi-Xi Wu , Xin-Jian Xu , Yong chen , Ying-Hai Wang

Punishment and partner switching are two well-studied mechanisms that support the evolution of cooperation. Observation of human behaviour suggests that the extent to which punishment is adopted depends on the usage of alternative…

物理与社会 · 物理学 2018-04-26 Hirofumi Takesue

We present a detailed study of prisoner's dilemma game with stochastic modifications on a two-dimensional lattice, in presence of evolutionary dynamics. By very nature of the rules, the cooperators have incentive to cheat and the fear to…

统计力学 · 物理学 2015-05-14 M. Ali Saif , Prashant M. Gade

Strategy changes are an essential part of evolutionary games. Here we introduce a simple rule that, depending on the value of a single parameter $w$, influences the selection of players that are considered as potential sources of the new…

物理与社会 · 物理学 2010-08-16 Zhen Wang , Matjaz Perc
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