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Evolution of Strategies in Spatial IPD Games with Structured Demes

机译:空间IPD游戏中的策略演变与结构性辩论

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The aim of this paper is to examine the effect of neighborhood structures on the evolution of cooperative behavior in a spatial IPD (Iterated Prisoner's Dlemma) game where every player is located in a cell of a two-dimensional grid-world. In our spatial IPD game, a player in each cell plays against players in its neighboring cells. A game strategy of each player is represented by a binary string, which determines the next action based on a finite history of previous rounds of the IPD game. A new strategy for a player is generated by genetic operations from a pair of parent strategies, which are selected from its neighbors. We use two neighborhood structures: One is for the interaction among players (i.e., IPD game) and the other is for the genetic operations. Simulation results show that the evolution of cooperative behavior is facilitated by small neighborhood structures for the genetic operations as well as for the IPD game. We also examine a variant of our spatial IPD game where an opponent of a player is randomly selected from its neighbors at every round of the IPD game. This means that the IPD game is not iterated against the same opponent.
机译:本文的目的是检验邻里结构上的合作行为的演变在空间IPD的效果(重复的囚徒的Dlemma)游戏,每个玩家坐落在一个二维网格世界的细胞。在我们的空间IPD比赛中,每一个小区的播放器播放对选手在其相邻小区。每个玩家的游戏策略是由二进制字符串,它根据前几轮IPD游戏的有限历史的下一个动作表示。对于一个球员的新战略是通过遗传操作,从一对父母的策略,这是从它的邻国产生的选择。我们用两个居委会结构:一种是玩家之间的相互作用(即,IPD游戏),另一个是针对遗传操作。仿真结果表明,合作行为的演化是由街道小结构的遗传操作以及对IPD游戏便利。我们还检查我们的空间IPD游戏,玩家的对手是来自其邻国在每一轮的IPD游戏的随机选择的一个变种。这意味着,IPD游戏没有重复对同一对手。

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