• DocumentCode
    188563
  • Title

    Multiple Contraction through Partial-Max-SAT

  • Author

    Gregoire, Eric ; Lagniez, Jean-Marie ; Mazure, Bertrand

  • Author_Institution
    CRIL, Univ. d´Artois, Lens, France
  • fYear
    2014
  • fDate
    10-12 Nov. 2014
  • Firstpage
    321
  • Lastpage
    327
  • Abstract
    An original encoding of multiple contraction in Boolean logic through Partial-Max-SAT is proposed. Multiple contraction of a set of clauses Δ by a set of formulas Γ delivers one maximum cardinality subset of Δ from which no formula of Γ can be deduced. Equivalently, multiple contraction can be defined as the extraction of one maximum cardinality subset of Δ that is satisfiable together with a given set of formulas. Noticeably, the encoding schema allows multiple contraction to be computed through a number of calls to a SAT solver that is bound by the number of formulas in Γ and one call to Partial-Max-SAT. On the contrary, in the worst case, a direct approach requires us to compute for each formula γ in Γ all inclusion-maximal subsets of Δ that do not entail γ. Extensive experimental results show that the encoding allows multiple contraction to be computed in a way that is practically viable in many cases and outperforms the direct approach.
  • Keywords
    Boolean algebra; computability; formal logic; set theory; Boolean logic; SAT solver; encoding schema; inclusion-maximal subsets; maximum cardinality subset; multiple contraction; partial-max-SAT; Benchmark testing; Cognition; Communities; Computational modeling; Encoding; Planning; Standards; Belief Change; Knowledge Representation; Multiple Contraction; Partial-Max-SAT;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2014 IEEE 26th International Conference on
  • Conference_Location
    Limassol
  • ISSN
    1082-3409
  • Type

    conf

  • DOI
    10.1109/ICTAI.2014.56
  • Filename
    6984492