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psmodels: Stable Models Based on Pertinence

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Logic Programming and Nonmotonic Reasoning (LPNMR 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2173))

Abstract

The characterization of stable models using the monotonic logic of pertinence helps identifying program transformations leading to a new normal form of programs. This provides an alternative view on automated reasoning for stable models from which improvements on existing systems, e.g. smodels, can be identified.

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References

  1. Ilkka Niemelä and Patrick Simons. Smodels-an implementation of the stable model and well-founded semantics for normal logic programs. In Proc. of the 4th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 97, LNAI 1265, pages 420–429, 1997. 422

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  2. Ramón P. Otero. A pertinence logic characterization of stable models (preliminary report). In A. Provetti and T. C. Son, editors, Answer Set Programming-AAAI Spring 2001 Symposium, pages 153–159, Stanford, CA, 2001. 420, 421, 422

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© 2001 Springer-Verlag Berlin Heidelberg

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Otero, R.P. (2001). psmodels: Stable Models Based on Pertinence. In: Eiter, T., Faber, W., Truszczyński, M.l. (eds) Logic Programming and Nonmotonic Reasoning. LPNMR 2001. Lecture Notes in Computer Science(), vol 2173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45402-0_35

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  • DOI: https://doi.org/10.1007/3-540-45402-0_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42593-9

  • Online ISBN: 978-3-540-45402-1

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