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A Refuted Conjecture on Probabilistic Satisfiability

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Advances in Artificial Intelligence – SBIA 2010 (SBIA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6404))

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Abstract

In this paper, we investigate the Probabilistic Satisfiability Problem, and its relation with the classical Satisfiability Problem, looking for a possible polynomial-time reduction. For this, we present an Atomic Normal Form to the probabilistic satisfiability problem and then we define a Probabilistic Entailment relation, showing its inherent properties. At the end, we enunciate and refute a conjecture that could lead to the desired polynomial-time reduction.

This work was supported by Fapesp Project 2008/03995-5 (LogProb).

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References

  1. Boole, G.: An Investigation of the Laws of Thought, on which are Founded the Mathematical Theories of Logic and Probabilities. Walton and Maberley, Londres (1854); reprint: Dover, Nova York (1958)

    Book  MATH  Google Scholar 

  2. Cook, S.: The Complexity of Theorem Proving Procedures. In: Proceedings of the Third Annual ACM Symposium on Theory of Computing, pp. 151–158. ACM, New York (1971)

    Google Scholar 

  3. de Finetti, B.: Problemi determinati e indeterminati nel calcolo delle probabilita. Rendiconti Reale Accademia dei Lincei 6(XII), 367–373 (1930)

    Google Scholar 

  4. Georgakopoulos, G., Kavvadias, D., Papadimitriou, C.H.: Probabilistic Satisfiability. Journal of Complexity 4, 1–11 (1988)

    Article  MATH  Google Scholar 

  5. Hailperin, T.: Best possible inequalities for the probability of a logical function of events. Amor. Math. Monthly 72, 343–359 (1965)

    Article  MATH  Google Scholar 

  6. Hansen, P., Jaumard, B.: Probabilistic satisfiability. Technical Report G-96-31, Les Cahiers du GERAD, École Polytechnique de Montréal (1996)

    Google Scholar 

  7. Hansen, P., Jaumard, B., Nguetse, G.D., Aragão, M.P.: Models and Algorithms for Probabilistic and Bayesian Logic. In: IJCAI 1995: Proceedings of the 14th International Joint Conference on Artificial Intelligence, p. 1868. Morgan Kaufmann, San Francisco (1995)

    Google Scholar 

  8. Nilsson, N.J.: Probabilistic Logic. Artificial Intelligence 28, 71–87 (1986)

    Article  MATH  Google Scholar 

  9. Prasolov, V.V., Tikhomirov, V.M.: Geometry, Translations of Mathematical Monographs, vol. 200, pp. 43–44. American Mathematical Society, Providence (2001)

    Google Scholar 

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Finger, M., De Bona, G. (2010). A Refuted Conjecture on Probabilistic Satisfiability. In: da Rocha Costa, A.C., Vicari, R.M., Tonidandel, F. (eds) Advances in Artificial Intelligence – SBIA 2010. SBIA 2010. Lecture Notes in Computer Science(), vol 6404. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16138-4_30

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  • DOI: https://doi.org/10.1007/978-3-642-16138-4_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16137-7

  • Online ISBN: 978-3-642-16138-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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