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Effects of Neighbourhood Structure on Evolution of Cooperation in N-Player Iterated Prisoner’s Dilemma

机译:邻里结构对N次迭代囚犯困境合作演变的影响

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摘要

In multi-agent systems, complex and dynamic interactions often emerge among individual agents. The ability of each agent to learn adaptively is therefore important for them to survive in such changing environment. In this paper, we consider the effects of neighbourhood structure on the evolution of cooperative behaviour in the N-Player Iterated Prisoner's Dilemma (NIPD). We simulate the NIPD as a bidding game on a two dimensional grid-world, where each agent has to bid against its neighbours based on a chosen game strategy. We conduct experiments with three different types of neighbourhood structures, namely the triangular neighbourhood structure, the rectangular neighbourhood structure and the random pairing structure. Our results show that cooperation does emerge under the triangular neighbourhood structure, but defection prevails under the rectangular neighbourhood structure as well as the random pairing structure.
机译:在多代理系统中,复杂和动态相互作用通常在个别代理中出现。因此,每个特工自适应学习的能力对于他们在这种不断变化的环境中生存是重要的。在本文中,我们考虑了邻里结构对N播放囚犯困境(NIPD)的合作行为演变的影响。我们在两级网格世界上模拟NIPD作为竞标游戏,每个代理都必须根据所选的游戏策略竞标其邻居。我们用三种不同类型的邻域结构进行实验,即三角形邻域结构,矩形邻域结构和随机配对结构。我们的研究结果表明,合作在三角形邻域结构下出现,但在矩形邻域结构以及随机配对结构下偏离偏差。

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