• DocumentCode
    3015015
  • Title

    Theorem proving in propositional logic on vector computers using a generalized Davis-Putman procedure

  • Author

    Chen, Wen-Tsuen ; Fang, Ming-Yi

  • Author_Institution
    Inst. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    1990
  • fDate
    12-16 Nov 1990
  • Firstpage
    658
  • Lastpage
    665
  • Abstract
    The Davis-Putman procedure (DPP) is an efficient method for solving the theorem proving problem in propositional logic. The authors present an effective technique for vectorizing the DPP. To speed up the execution of DPP, the rules used by the procedure are first generalized by considering more than one literal at a time. Then vectorized algorithms based on the generalized rules are proposed. Experiments are conducted on vector computers. The results show that the vectorized version of the Davis-Putnam procedure is effective in solving a variety of instances of the theorem proving problem in propositional logic. The vectorized version of the DPP was effective in cutting down the search space and thus substantially improving the search efficiency
  • Keywords
    parallel processing; pipeline processing; search problems; theorem proving; generalized Davis-Putman procedure; generalized rules; propositional logic; search efficiency; search space; theorem proving; vector computers; vectorized algorithms; Artificial intelligence; Boolean functions; Computer aided instruction; Computer science; Concurrent computing; Logic; Mathematics; NP-complete problem; Parallel processing; Pipelines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Supercomputing '90., Proceedings of
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-8186-2056-0
  • Type

    conf

  • DOI
    10.1109/SUPERC.1990.130083
  • Filename
    130083