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Vampire

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Book cover Automated Deduction — CADE-16 (CADE 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1632))

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Abstract

Vampire is a resolution-based theorem prover for rst-order classical logic. The current version implements ordered binary resolution with the set-of-support strategy and ordered hyperresolution. The competition version will have equality rules.

Vampire owes many of its design ideas to Otter [5]. It uses a saturation-based algorithmsimilar to that described in [3], but implemented more efficiently. Some planned (but not yet implemented) extensions of Vampire are directed toward the ideas underlying the design of SPASS [9].

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References

  1. H. de Nivelle. An algorithm for the retrieval of unifiers from discrimination trees. Journal of Automated Reasoning, 20(1/2):5–25, January 1998.

    Article  MATH  MathSciNet  Google Scholar 

  2. P. Graf. Term Indexing, volume 1053of Lecture Notes in Computer Science. Springer Verlag, 1996.

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  3. E.L. Lusk. Controlling redundancy in large search spaces: Argonne-style theorem proving through the years. In A. Voronkov, editor, Logic Programming and Automated Reasoning. International Conference LPAR’92., volume 624 of Lecture Notes in Artificial Intelligence, pages 96–106, St.Petersburg, Russia, July 1992.

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  4. William W. McCune. Experiments with discrimination-tree indexing and path indexing for term retrieval. Journal of Automated Reasoning, 9(2):147–167, 1992.

    Article  MATH  MathSciNet  Google Scholar 

  5. W.W. McCune. OTTER 3.0 reference manual and guide. Technical Report ANL-94/6, Argonne National Laboratory, January 1994.

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  6. I.V. Ramakrishnan, R. Sekar, and A. Voronkov. Term indexing. In A. Robinson and A. Voronkov, editors, Handbook of Automated Reasoning. Elsevier Science and MIT Press, 1999. To appear.

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  7. M. Stickel. The path indexing method for indexing terms. Technical Report 473, Artificial Intelligence Center, SRI International, Menlo Park, CA, October 1989.

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  8. A. Voronkov. The anatomy of Vampire: Implementing bottom-up procedures with code trees. Journal of Automated Reasoning, 15(2):237–265, 1995.

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  9. C. Weidenbach, B. Gaede, and G. Rock. Spass & flotter. version 0.42. In M.A. McRobbie and J.K. Slaney, editors, Automated Deduction CADE-13, volume 1104 of Lecture Notes in Computer Science, pages 141–145, New Brunswick, NJ, USA, 1996.

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© 1999 Springer-Verlag Berlin Heidelberg

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Riazanov, A., Voronkov, A. (1999). Vampire. In: Automated Deduction — CADE-16. CADE 1999. Lecture Notes in Computer Science(), vol 1632. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48660-7_26

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  • DOI: https://doi.org/10.1007/3-540-48660-7_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66222-8

  • Online ISBN: 978-3-540-48660-2

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