A review of explanation methods for Bayesian networks 论文
2002The Knowledge Engineering Review引用 236
Bayesian Modeling and Causal InferenceAI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge
摘要
One of the key factors for the acceptance of expert systems in real-world domains is the ability to explain their reasoning (Buchanan & Shortliffe, 1984; Henrion & Druzdzel, 1990). This paper describes the basic properties that characterise explanation methods and reviews the methods developed to date for explanation in Bayesian networks.