Proceedings

Semantically Guided Theorem Proving for Diagnosis Applications

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Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Diagnosis and Qualitative Reasoning. Pages 460-464.

Abstract

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 diagnoses. Our experiments show that our general approach is competitive with specialized diagnosis systems.

Peter Baumgartner, Peter Fröhlich, Ulrich Furbach, and Wolfgang Nejdl. 1997. Semantically Guided Theorem Proving for Diagnosis Applications. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97. IJCAI, 460–464. https://ijcai.org/proceedings/1997/68
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