• DocumentCode
    2820897
  • Title

    A New Reduction from 3SAT to n-Partite Graphs

  • Author

    Hulme, Daniel J. ; Hirsch, Robin ; Buxton, Bernard F. ; Lotto, R. Beau

  • Author_Institution
    Dept. of Comput. Sci., Univ. Coll. London
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    235
  • Lastpage
    238
  • Abstract
    The constraint satisfaction problem (CSP) is one of the most prominent problems in artificial intelligence, logic, theoretical computer science, engineering and many other areas in science and industry. One instance of a CSP, the satisfiability problem in propositional logic (SAT), has become increasingly popular and has illuminated important insights into our understanding of the fundamentals of computation. Though the concept of representing propositional formulae as n-partite graphs is certainly not novel, in this paper we introduce a new polynomial reduction from 3SAT to G7 n graphs and demonstrate that this framework has advantages over the standard representation. More specifically, after presenting the reduction we show that many hard 3SAT instances represented in this framework can be solved using a basic path-consistency algorithm, and finally we discuss the potential advantages and implications of using such a representation
  • Keywords
    computability; constraint theory; graph theory; constraint satisfaction problem; hard 3SAT instances; n-partite graphs; path-consistency algorithm; polynomial reduction; propositional logic; satisfiability problem; Artificial intelligence; Computational intelligence; Computer industry; Computer science; Constraint theory; Educational institutions; Graph theory; Logic; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computational Intelligence, 2007. FOCI 2007. IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0703-6
  • Type

    conf

  • DOI
    10.1109/FOCI.2007.372174
  • Filename
    4233912