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Ibero-American Conference on Artificial Intelligence

IBERAMIA 2014: Advances in Artificial Intelligence -- IBERAMIA 2014 pp 3–14Cite as

A Parsing Approach to SAT

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8864))

Abstract

We present a parsing approach to address the problem of propositional satisfiability (SAT). We use a very simple translation from formulae in conjunctive normal form (CNF) to strings to be parsed by an Earley type algorithm. The parsing approach enables both a SAT and an ALL-SAT solver. The parsing algorithm is based in a model of automata that uses multiple stacks, presented here with a grammar characterization. The time complexity of the algorithm is polynomial, where the degree of the polynomial is dependent on the number of stacks used. It is not dependent on the length of the input nor properties of the grammar. However the number of stacks used might be a function on the number of variables and this is an open question. The number of stacks effectively used in practice is dependent on ordering of variables and clauses. A prototype of the parser was implemented and tested.

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Author information

Authors and Affiliations

  1. Depto. de Computación, FCEyN, UBA, Buenos Aires, Argentina

    José M. Castaño

Authors
  1. José M. Castaño
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Correspondence to José M. Castaño .

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Editors and Affiliations

  1. Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

    Ana L.C. Bazzan

  2. Pontifica Universidad Católica (PUC), Santiago de Chile, Chile

    Karim Pichara

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Castaño, J.M. (2014). A Parsing Approach to SAT. In: Bazzan, A., Pichara, K. (eds) Advances in Artificial Intelligence -- IBERAMIA 2014. IBERAMIA 2014. Lecture Notes in Computer Science(), vol 8864. Springer, Cham. https://doi.org/10.1007/978-3-319-12027-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-12027-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12026-3

  • Online ISBN: 978-3-319-12027-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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