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SAT-Based Horn Least Upper Bounds

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Theory and Applications of Satisfiability Testing -- SAT 2015 (SAT 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9340))

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Abstract

Knowledge compilation and approximation finds a wide range of practical applications. One relevant task in this area is to compute the Horn least upper bound (Horn LUB) of a propositional theory F. The Horn LUB is the strongest Horn theory entailed by F. This paper studies this problem and proposes two new algorithms that rely on making successive calls to a SAT solver. The algorithms are analyzed theoretically and evaluated empirically. The results show that the proposed methods are complementary and enable computing Horn LUBs for instances with a non-negligible number of variables.

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Author information

Authors and Affiliations

  1. CASL, University College Dublin, Dublin, Ireland

    Carlos Mencía, Alessandro Previti & Joao Marques-Silva

  2. INESC-ID, IST, ULisboa, Lisbon, Portugal

    Joao Marques-Silva

Authors
  1. Carlos Mencía
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  2. Alessandro Previti
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  3. Joao Marques-Silva
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Correspondence to Carlos Mencía .

Editor information

Editors and Affiliations

  1. Algorithms, University of Texas, Austin, Texas, USA

    Marijn Heule

  2. Trusted Systems Research Group, Fort Meade, Texas, USA

    Sean Weaver

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Mencía, C., Previti, A., Marques-Silva, J. (2015). SAT-Based Horn Least Upper Bounds. In: Heule, M., Weaver, S. (eds) Theory and Applications of Satisfiability Testing -- SAT 2015. SAT 2015. Lecture Notes in Computer Science(), vol 9340. Springer, Cham. https://doi.org/10.1007/978-3-319-24318-4_30

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  • DOI: https://doi.org/10.1007/978-3-319-24318-4_30

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