• DocumentCode
    2507910
  • Title

    MCMR: a multiple rule firing production system model

  • Author

    Kuo, Steve ; Moldovan, Dan ; Cha, Seungho

  • Author_Institution
    Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    1991
  • fDate
    30 Apr-2 May 1991
  • Firstpage
    256
  • Lastpage
    259
  • Abstract
    The performance of production programs can be improved by firing multiple rules in a production cycle. Although considerable amount of research has been done on parallel processing of production programs, the problem of multiple rule firing has not been thoroughly investigated yet. The authors begin by identifying the problems associated with multiple rule firing systems: the compatibility problem and the convergence problem. They then present the multiple-contexts-multiple-rules (MCMR) model which addresses these two problems. A production program executed under the MCMR is guaranteed to reach a solution which is equivalent to the sequential execution. The MCMR model has been simulated on the RUBIC simulator, and speedups of 3.18 to 20.38-folds over sequential execution have been obtained
  • Keywords
    inference mechanisms; knowledge based systems; parallel processing; compatibility; convergence; multiple rule firing production system model; multiple-contexts-multiple-rules; parallel processing; production programs; Data analysis; Fires; Parallel processing; Problem-solving; Production systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Symposium, 1991. Proceedings., Fifth International
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    0-8186-9167-0
  • Type

    conf

  • DOI
    10.1109/IPPS.1991.153788
  • Filename
    153788