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Approximating Answer Sets of Unitary Lifschitz-Woo Programs

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Logic Programming and Nonmonotonic Reasoning (LPNMR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3662))

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Abstract

We investigate techniques for approximating answer sets of general logic programs of Lifschitz and Woo, whose rules have single literals as heads. We propose three different methods of approximation and obtain results on the relationship between them. Since general logic programs with single literals as heads are equivalent to revision programs, we obtain results on approximations of justified revisions of databases by revision programs.

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References

  1. Bondarenko, A., Toni, F., Kowalski, R.A.: An assumption-based framework for non-monotonic reasoning. In: Nerode, A., Pereira, L. (eds.) Logic programming and non-monotonic reasoning, Lisbon, pp. 171–189. MIT Press, Cambridge (1993)

    Google Scholar 

  2. Gelfond, M., Lifschitz, V.: The stable semantics for logic programs. In: Proceedings of the 5th International Conference on Logic Programming, pp. 1070–1080. MIT Press, Cambridge (1988)

    Google Scholar 

  3. Gelfond, M., Lifschitz, V.: Classical negation in logic programs and disjunctive databases. New Generation Computing 9, 365–385 (1991)

    Article  Google Scholar 

  4. Lifschitz, V.: Foundations of logic programming. In: Principles of Knowledge Representation, pp. 69–127. CSLI Publications, Stanford (1996)

    Google Scholar 

  5. Lifschitz, V., Woo, T.Y.C.: Answer sets in general nonmonotonic reasoning. In: Proceedings of the 3rd international conference on principles of knowledge representation and reasoning, KR 1992, pp. 603–614. Morgan Kaufmann, San Mateo (1992)

    Google Scholar 

  6. Marek, V.W., Pivkina, I., Truszczyński, M.: Revision programming = logic programming + integrity constraints. In: Gottlob, G., Grandjean, E., Seyr, K. (eds.) CSL 1998. LNCS, vol. 1584, pp. 73–89. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  7. Marek, V.W., Pivkina, I., Truszczyński, M.: Annotated revision programs. Artificial Intelligence Journal 138, 149–180 (2002)

    Article  MATH  Google Scholar 

  8. Marek, W., Truszczyński, M.: Revision programming. Theoretical Computer Science 190(2), 241–277 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  9. Pivkina, I.: Revision programming: a knowledge representation formalism. PhD dissertation, University of Kentucky (2001)

    Google Scholar 

  10. Pivkina, I.: Defining well-founded semantics for revision programming Technical Report NMSU-CS-2005-001, New Mexico State University, Computer Science Department (2005)

    Google Scholar 

  11. Przymusiński, T.C., Turner, H.: Update by means of inference rules. In: Marek, V.W., Truszczyński, M., Nerode, A. (eds.) LPNMR 1995. LNCS, vol. 928, pp. 156–174. Springer, Heidelberg (1995)

    Google Scholar 

  12. Simons, P., Niemelä, I., Soininen, T.: Extending and implementing the stable model semantics. Artificial Intelligence 138, 181–234 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  13. Subrahmanian, V.S., Nau, D., Vago, C.: WFS + branch bound = stable models. IEEE Transactions on Knowledge and Data Engineering 7, 362–377 (1995)

    Article  Google Scholar 

  14. Van Gelder, A.: The alternating fixpoint of logic programs with negation. Journal of Computer and System Sciences 47(1), 185–221 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  15. Van Gelder, A., Ross, K.A., Schlipf, J.S.: Unfounded sets and well-founded semantics for general logic programs. In: ACM Symposium on Principles of Database Systems, pp. 221–230 (1988)

    Google Scholar 

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Marek, V.W., Pivkina, I., Truszczyński, M. (2005). Approximating Answer Sets of Unitary Lifschitz-Woo Programs. In: Baral, C., Greco, G., Leone, N., Terracina, G. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2005. Lecture Notes in Computer Science(), vol 3662. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11546207_6

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  • DOI: https://doi.org/10.1007/11546207_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28538-0

  • Online ISBN: 978-3-540-31827-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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