论文标题
放松社交网络的共同信念
Relaxing Common Belief for Social Networks
论文作者
论文摘要
我们提出了一种称为派系信念的普通信念的放松，适合于社交网络上的战略协调分析。我们展示了该定义如何用于在一般图表上分析起义游戏，包括提供有效的算法，该算法表征了有关此类游戏可能平衡的结构性结果。这扩展了关于常识和共同信念的先前工作，这对于理解社交网络环境中的战略协调和合作而过于限制。
We propose a relaxation of common belief called factional belief that is suitable for the analysis of strategic coordination on social networks. We show how this definition can be used to analyze revolt games on general graphs, including by giving an efficient algorithm that characterizes a structural result about the possible equilibria of such games. This extends prior work on common knowledge and common belief, which has been too restrictive for use in understanding strategic coordination and cooperation in social network settings.
