Abstract
Consistency of a knowledge-based system has become a topic of growing concern. Every notion of consistency presupposes a notion of semantics. We present a theoretical framework in which both the semantics and the consistency of a knowledge base can be studied. This framework is based on first order flat many-sorted predicate logic and is sufficiently rich to capture an interesting class of rule-based expert systems and deductive databases. We analyse the feasibility of the consistency test and prove that this test is feasible for knowledge bases in Horn format without quantification.
Note: The work in this document was conducted as part of the PRISMA project, a joint effort with Philips Research Eindhoven, partially supported by the Dutch "Stimulerings-projectteam Informatica-onderzoek" (SPIN).
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© 1988 Springer-Verlag Berlin Heidelberg
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Bezem, M. (1988). Consistency of rule-based expert systems. In: Lusk, E., Overbeek, R. (eds) 9th International Conference on Automated Deduction. CADE 1988. Lecture Notes in Computer Science, vol 310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0012830
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DOI: https://doi.org/10.1007/BFb0012830
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