Semantically Guided Theorem Proving for Diagnosis Applications

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In this paper we demonstrate how general purpose automated theorem proving techniques can be used to solve realistic model-based diagnosis problems. For this we modify a model generating tableau calculus such that a model of a correctly behaving device can be used to guide the search for minimal n-fault diagnoses. Our experiments show that our general approach is competitive with specialized diagnosis systems.

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تاریخ انتشار 1997