Abstract
Model-based diagnosis is the activity of locating malfunctioning components of a system solely on the basis of its structure and behavior. In the paper we describe the role of Constraint Logic Programming (CLP) in representing models and the search space of minimal diagnoses. In particular, we concentrate on two instances of the CLP scheme: CLP (B) and CLP (R). CLP (B) extends the standard computational domain of logic programs by boolean expressions, while CLP(R) comprises a solver for systems of linear equations and inequalities over real-valued variables.
Invited talk at the 6th Czechoslovak Annual Conf. on AI, Prague, June 25–27, 1991.
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Mozetič, I., Holzbaur, C. (1991). Model-Based Diagnosis with Constraint Logic Programs. In: Kaindl, H. (eds) 7. Österreichische Artificial-Intelligence-Tagung / Seventh Austrian Conference on Artificial Intelligence. Informatik-Fachberichte, vol 287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46752-3_18
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DOI: https://doi.org/10.1007/978-3-642-46752-3_18
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