...
首页> 外文期刊>IEEE transactions on evolutionary computation >Evolution of iterated prisoner's dilemma game strategies in structured demes under random pairing in game playing
【24h】

Evolution of iterated prisoner's dilemma game strategies in structured demes under random pairing in game playing

机译:游戏中随机配对条件下结构囚犯中迭代囚徒困境游戏策略的演变

获取原文
获取原文并翻译 | 示例
           

摘要

We discuss the evolution of strategies in a spatial iterated prisoner's dilemma (IPD) game in which each player is located in a cell of a two-dimensional grid-world. Following the concept of structured demes, two neighborhood structures are used. One is for the interaction among players through the IPD game. A player in each cell plays against its neighbors defined by this neighborhood structure. The other is for mating strategies by genetic operations. A new strategy for a player is generated by genetic operations from a pair of parent strings, which are selected from its neighboring cells defined by the second neighborhood structure. After examining the effect of the two neighborhood structures on the evolution of cooperative behavior with standard pairing in game-playing, we introduce a random pairing scheme in which each player plays against a different randomly chosen neighbor at every round (i.e., every iteration) of the game. Through computer simulations, we demonstrate that small neighborhood structures facilitate the evolution of cooperative behavior under random pairing in game-playing.
机译:我们讨论了空间迭代囚徒困境(IPD)游戏中策略的演变,其中每个玩家都位于二维网格世界的一个单元中。遵循结构化的概念的概念,使用了两个邻域结构。一种是通过IPD游戏进行玩家之间的互动。每个单元中的玩家与由该邻域结构定义的邻居进行对抗。另一个是通过遗传操作进行的交配策略。通过遗传运算从一对亲本串中产生一种玩家的新策略,该对亲本串是从第二邻域结构定义的其相邻细胞中选择的。在研究了两个邻域结构对游戏行为中标准配对对合作行为演变的影响之后,我们引入了一种随机配对方案,其中每个玩家在每个回合(即每次迭代)中与不同的随机选择的邻居进行比赛游戏。通过计算机模拟,我们证明了小的邻域结构促进了游戏中随机配对下合作行为的演变。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号