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Prisoner's Dilemma in one-dimensional cellular automata: Visualization of evolutionary patterns

机译:一维细胞自动机中的囚徒困境:进化模式的可视化

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The spatial Prisoner's Dilemma is a prototype model to show the emergence of cooperation in very competitive environments. It considers players, at sites of lattices, that can either cooperate or defect when playing the Prisoner's Dilemma with z other players. This model presents a rich phase diagram. Here we consider players in cells of one-dimensional cellular automata. Each player interacts with z other players. This geometry allows us to vary, in a simple manner, the number of neighbors ranging from one up to the lattice size, including self-interaction. This approach has multiple advantages. It is simple to implement numerically and we are able to retrieve all the results found in the previously considered lattices, with a faster convergence to stationary values. More remarkable, it permits us to keep track of the spatio-temporal evolution of each player of the automaton, giving rise to interesting patterns. These patterns allow the interpretation of cooperation/defection clusters as particles, which can be absorbed and collided among themselves. The presented approach represents a new paradigm to study the emergence and maintenance of cooperation in the spatial Prisoner's Dilemma.
机译:空间囚徒困境是一个原型模型,显示了在竞争激烈的环境中合作的出现。它考虑了在格子位置上与其他玩家一起玩囚徒困境时可能合作或叛逃的玩家。该模型提供了丰富的相图。在这里,我们考虑一维细胞自动机的细胞中的参与者。每个玩家与z个其他玩家互动。这种几何形状使我们能够以一种简单的方式改变邻居的数量,范围从一个到晶格大小不等,包括自相互作用。该方法具有多个优点。数值实现很简单,我们能够检索先前考虑的晶格中发现的所有结果,并更快地收敛到固定值。更值得注意的是,它使我们能够跟踪自动机每个参与者的时空演变,从而产生有趣的模式。这些模式可以将协作/缺陷簇解释为颗粒,它们之间可以被吸收和碰撞。提出的方法代表了一种新的范式,用于研究空间囚徒困境中合作的出现和维持。

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