An explanation mechanism for bayesian inferencing systems
نویسنده
چکیده
Explanation facilities are a particularly important feature of expert system frameworks. It is an area in which traditional rule-based expert system frameworks have had mixed results. While explanations about control are well handled, facilities are needed for generating be. tter explanations concerning knowledge base content. This pap41r approaches the explanation problem by examining the effect an event has on a variable of interest within a symmetric Bayesian inferencing system. We argue that any effect measure operating in this context must satisfy certain properties. Such a measure is proposed. It forms the basis for an explanation facility which allows the user of the Generalized Bayesian lnferencing System to question the meaning of the knowledge base. That facility is described in detail.
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