概率推理与影响图

PROBABILISTIC INFERENCE AND INFLUENCE DIAGRAMS

本文讨论了影响图理论在概率推理过程中的应用和要涉及的信息及信息量。提出了虚拟信息滤波过程的概念和方法;讨论了概念网络中的信息溶合和衍殖过程;研究了用虚拟滤波过程表征人们行为中的柔性推理机制;设计了概念网络上的一种柔性推理准则。为决策分析和人工智能领域中的不肯定性信息测度问题提供了一种新的方法。

The paper discusses the applications of influence diagrams to probabilistic inference, and information with the inference. The concept and method of quasi information filtering are proposed. The fusion of information in belief network is eramed and studied by using quasi-in-formation filtering to represent the flexible inference machanism in human's actions. A flexible inference rule in belief networks is designed and quasi-information filtering provides a new approach to studying uncertainty in decision analysis and A.I.