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Automated Theorem Proving with Disjunctive Constraints

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Principles and Practice of Constraint Programming – CP’99 (CP 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1713))

Abstract

Automated theorem proving (ATP) is an important research area in artificial intelligence. The objective of an ATP system is to find out whether or not a query (or goal) is a logical consequence of a set of axioms (the query and the axioms have to be formally specified, for example in first-order clause logic). For this purpose, system-specific inference rules are applied systematically. A sequence of inference rule applications which shows that a given query is a logical consequence of a given set of axioms is called a proof.

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References

  1. Ibens, O.: Automated theorem proving with disjunctive constraints. Technical report AR-99-03, Institut für Informatik, TU München (1999)

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© 1999 Springer-Verlag Berlin Heidelberg

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Ibens, O. (1999). Automated Theorem Proving with Disjunctive Constraints. In: Jaffar, J. (eds) Principles and Practice of Constraint Programming – CP’99. CP 1999. Lecture Notes in Computer Science, vol 1713. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48085-3_38

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  • DOI: https://doi.org/10.1007/978-3-540-48085-3_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66626-4

  • Online ISBN: 978-3-540-48085-3

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