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Spread of Cooperation in Complex Agent Networks Based on Expectation of Cooperation

机译:基于合作期望的复杂Agent网络中的合作传播

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This paper proposes a behavioral strategy called expectation of cooperation with which cooperation in the prisoner's dilemma game spreads over agent networks by incorporating Q-learning. Recent advances in computer and communication technologies enable intelligent agents to operate in small and handy computers such as mobile PCs, tablet computers, and smart phones as delegates of their owners. Because the interaction of these agents is associated with social links in the real world, social behavior is to some degree required to avoid conflicts, competition, and unfairness that may lead to further inefficiency in the agent society. The proposed strategy is simple and easy to implement but nevertheless can spread over and maintain cooperation in agent networks under certain conditions. We conducted a number of experiments to clarify these conditions, and the results indicate that cooperation spread and was maintained with the proposed strategy in a variety of networks.
机译:本文提出了一种被称为“合作期望”的行为策略,通过结合Q学习,囚徒困境游戏中的合作通过代理网络传播。计算机和通信技术的最新进展使智能代理可以作为所有者的代表在小型便携式计算机(如移动PC,平板计算机和智能电话)中运行。由于这些行为人的互动与现实世界中的社会联系相关联,因此在某种程度上需要社会行为来避免可能导致行为人社会进一步低效率的冲突,竞争和不公平。所提出的策略简单易行,但是在一定条件下仍可以扩展并维持代理网络中的合作。我们进行了许多实验以弄清这些条件,结果表明合作在各种网络中得以扩展并得到了所建议策略的维护。

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