The Generation of Explanations within Evidential Reasoning Systems
نویسنده
چکیده
One of the most highly touted virtues of knowledge-based expert systems is their abil i ty to construct explanations of deduced lines of reasoning. However, there is a basic difficulty in generating explanations in expert systems that reason under uncertainty using numeric measures. In particular, systems based upon evidential reasoning using the theory of belief functions have lacked any facil ity for explaining their conclusions. In this paper we review the process whereby other expert system technologies produce explanations, and present a methodology for augmenting an evidential-reasoning system with a versatile explanation facility. The method, which is based on sensitivity analysis, has been implemented and a simple example of its use is described.
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