• DocumentCode
    328419
  • Title

    Approximate reasoning with parallel connectionist production systems

  • Author

    Kasabov, Nikola K. ; Shishkov, Stephan I.

  • Author_Institution
    Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
  • Volume
    3
  • fYear
    1993
  • fDate
    25-29 Oct. 1993
  • Firstpage
    2963
  • Abstract
    The paper presents a development of a connectionist production system NPS where a parallel updating of the working memory is introduced through parallel activation of all the fully or partially satisfied production rules. A MAX-function is used when several rules update in parallel one fact. The parallel updating in NPS is suitable for approximate reasoning over fuzzy production systems. The paper brings to one point-the point of connectionist implementation both the symbolic AI production systems and the fuzzy production systems.
  • Keywords
    inference mechanisms; knowledge based systems; neural nets; MAX-function; NPS; approximate reasoning; fuzzy production systems; parallel connectionist production systems; symbolic AI production systems; working memory parallel updating; Artificial intelligence; Computer science; Fires; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Information science; Neural networks; Parallel processing; Production systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
  • Print_ISBN
    0-7803-1421-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.1993.714344
  • Filename
    714344
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=328419