学会玩公益游戏
Learning to play public good games
摘要：
我们扩展最近的随机效应的分析，在游戏动态学习的情况下，多人游戏，并定义在网络结构上的游戏。通过对噪声强度的扩展，我们考虑了弱噪声极限，并给出了多人公益博弈中波动谱性质的解析计算。这扩展了现有的两人游戏的工作。特别是，我们表明，连贯的周期可能会出现由噪声驱动的适应动态。这些现象与行为博弈论实验中观察到的循环策略转换没有太大的不同。
英文摘要：
We extend recent analyses of stochastic effects in game dynamical learning to cases of multi-player games, and to games defined on networked structures. By means of an expansion in the noise strength we consider the weak-noise limit, and present an analytical computation of spectral properties of fluctuations in multi-player public good games. This extends existing work on two-player games. In particular we show that coherent cycles may emerge driven by noise in the adaptation dynamics. These phenomena are not too dissimilar from cyclic strategy switching observed in experiments of behavioural game theory.
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