提出新方法刻画智能体对他人理性的复杂信念关系
Uncommon Belief in Rationality
- 用图结构建模智能体对彼此理性的高阶信念
- 给出基于信念结构的推理求解概念
- 可将任意信念结构压缩为唯一最小形式
共同知识/信念中的理性假设是分析智能体交互的传统标准。本文提出一种基于图的语言，用于捕捉智能体对其他智能体理性程度的更复杂高阶信念结构。主要贡献有两个：一是基于给定信念结构的推理过程求解概念；二是将任意信念结构压缩为唯一最小形式的高效算法。
原文摘要 · Abstract (English)
Common knowledge/belief in rationality is the traditional standard assumption in analysing interaction among agents. This paper proposes a graph-based language for capturing significantly more complicated structures of higher-order beliefs that agents might have about the rationality of the other agents. The two main contributions are a solution concept that captures the reasoning process based on a given belief structure and an efficient algorithm for compressing any belief structure into a unique minimal form.
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