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Automating proofs of integrity constraints in situation calculus

  • Communications Session 2B Logic for AI
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Foundations of Intelligent Systems (ISMIS 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1079))

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Abstract

Automated support for proving integrity constraints (ICs) on deductive database update specifications is developed using an induction theorem prover, Rewrite Rule Laboratory (RRL) [6]. The approach proposed by Reiter [9, 11, 10] for solving the frame problem for such applications in a language of the situation calculus is used as a basic framework. Integrity constraints are propositions that are expected to be true in every accessible state of a database, and they should be provable from the specification of the evolution of the database. Accessible states are defined by induction [12] as those reachable from the initial state by update actions whose execution is possible. Induction theorem provers can only reason about quantifier-free formulas (i.e., universally quantified formulas) whereas in order to express integrity constraints, quantifiers may be used. It is shown that by making use of the fact that in relational data base applications, domain of objects under consideration is finite, such ICs expressed using quantifiers can be mechanically translated into quantifier-free formulas by introducing new predicates and by explicitly building domains of objects involved in updates. Bridge lemmas connecting the semantics of the new predicates to the fluents used to express integrity constraints can be mechanically generated and automatically proved in RRL. An interesting feature of the proposed approach is that mechanically generated proofs of integrity constraints have a structure similar to manually-generated proofs.

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Zbigniew W. Raś Maciek Michalewicz

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© 1996 Springer-Verlag Berlin Heidelberg

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Bertossi, L., Pinto, J., Saez, P., Kapur, D., Subramaniam, M. (1996). Automating proofs of integrity constraints in situation calculus. In: Raś, Z.W., Michalewicz, M. (eds) Foundations of Intelligent Systems. ISMIS 1996. Lecture Notes in Computer Science, vol 1079. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61286-6_146

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  • DOI: https://doi.org/10.1007/3-540-61286-6_146

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61286-5

  • Online ISBN: 978-3-540-68440-4

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