• DocumentCode
    1572601
  • Title

    Deductive search for logic puzzles

  • Author

    Browne, Cameron

  • Author_Institution
    Imperial Coll. London, London, UK
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Deductive search (DS) is a breadth-first, depth-limited propagation scheme for the constraint-based solution of deduction puzzles, using simple logic operations found in standard constraint satisfaction solvers. It attempts to emulate the processing limits experienced by human solvers, and, to some extent, the process by which they solve such problems. Any solution deduced by DS is guaranteed to be correct and unique. Further, it provides an estimate of the deducibility of a given problem for human solvers and offers new ways of understanding deduction puzzles. Its performance is tested on a number of problem domains including Japanese logic puzzles, a traditional logic puzzle, and a geometric placement puzzle.
  • Keywords
    games of skill; tree searching; DS; Japanese logic puzzles; breadth-first search; constraint-based solution; deduction puzzles; deductive search; depth-limited propagation scheme; geometric placement puzzle; logic operations; standard constraint satisfaction solvers; traditional logic puzzle; Artificial intelligence; Boolean functions; Data structures; Image edge detection; Mathematical model; Standards; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Games (CIG), 2013 IEEE Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    2325-4270
  • Print_ISBN
    978-1-4673-5308-3
  • Type

    conf

  • DOI
    10.1109/CIG.2013.6633649
  • Filename
    6633649