论文标题
可溶性影响图中信息价值的完整标准
A Complete Criterion for Value of Information in Soluble Influence Diagrams
论文作者
论文摘要
影响图最近已用于分析AI系统的安全性和公平性。该分析的关键构建块是信息价值（VOI）的图形标准。本文在具有多个决策的影响图中建立了VOI的第一个完整的图形标准。在此过程中，我们建立了两种重要的技术来证明多决策影响图的特性：ID同构是影响图的结构传感转换，而系统树是系统的收集，可捕获信息和控制如何在影响图中流动的路径。
Influence diagrams have recently been used to analyse the safety and fairness properties of AI systems. A key building block for this analysis is a graphical criterion for value of information (VoI). This paper establishes the first complete graphical criterion for VoI in influence diagrams with multiple decisions. Along the way, we establish two important techniques for proving properties of multi-decision influence diagrams: ID homomorphisms are structure-preserving transformations of influence diagrams, while a Tree of Systems is collection of paths that captures how information and control can flow in an influence diagram.
