• DocumentCode
    2357673
  • Title

    Probing-based preprocessing techniques for propositional satisfiability

  • Author

    Lynce, Inês ; Marques-Silva, João

  • Author_Institution
    IST/INESC-ID, Tech. Univ. of Lisbon, Portugal
  • fYear
    2003
  • fDate
    3-5 Nov. 2003
  • Firstpage
    105
  • Lastpage
    110
  • Abstract
    Preprocessing is an often used approach for solving hard instances of propositional satisfiability (SAT). Preprocessing can be used for reducing the number of variables and for drastically modifying the set of clauses, either by eliminating irrelevant clauses or by inferring new clauses. Over the years, a large number of formula manipulation techniques has been proposed, that in some situations have allowed solving instances not otherwise solvable with state-of-the-art SAT solvers. This paper proposes probing-based preprocessing, an integrated approach for preprocessing propositional formulas, that for the first time integrates in a single algorithm most of the existing formula manipulation techniques. Moreover, the new unified framework can be used to develop new techniques. Preliminary experimental results illustrate that probing-based preprocessing can be effectively used as a preprocessing tool in state-of-the-art SAT solvers.
  • Keywords
    computability; problem solving; symbol manipulation; formula manipulation; preprocessing tool; probing-based preprocessing; propositional formula preprocessing; propositional satisfiability; state-of-the-art SAT solver; Algorithm design and analysis; Application software; Artificial intelligence; Computer science; Data preprocessing; Failure analysis; Home appliances;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2003. Proceedings. 15th IEEE International Conference on
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-2038-3
  • Type

    conf

  • DOI
    10.1109/TAI.2003.1250177
  • Filename
    1250177