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A Simple Mechanism to Maintain Peer's Cooperativeness: The Peer's RPS Dilemma

机译:一种保持同伴合作的简单机制:同伴的RPS困境

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In this paper we make use of a genetic algorithm for the simulation and study of decentralized peer to peer (P2P) communities. We also define a formalism, based on evolutionary game theory, to use as the formal framework in which to analyze the emergence of cooperativeness in this type of networks. Traditionally, peers' interactions have been represented and analyzed by considering a Cooperate/Free-ride Social Dilemma (Peer's Dilemma), equivalent in many ways to the well known Prisoner's Dilemma. In a similar way, all previous formalisms considered participation in each interaction as compulsory. The model and the simulator presented in this paper will allow us to reason about the emergence of cooperativeness between non-incentivized anonymous peers, and it will serve to prove that peer's optional participation in the Cooperate/Free-ride Social Dilemma suffices to maintain acceptable levels of network performance in large P2P communities.
机译:在本文中,我们利用遗传算法进行分散对等(P2P)社区的分散和研究。我们还根据进化博弈论定义一种形式主义,以作为分析这种网络中合作社的出现的正式框架。传统上,通过考虑合作/自由骑行社交困境(同伴的困境),相当于众所周知的囚犯的困境,因此代表和分析了同行的相互作用。以一种类似的方式,所有以前的形式主义都认为参与每个互动作为强制性。本文提出的模型和模拟器将使我们推理在非激励匿名同行之间的合作关系的推理,并将证明同行可选择参与合作/自由骑行社交困境足以保持可接受的水平大型P2P社区网络性能。

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