• DocumentCode
    3278724
  • Title

    Validating knowledge systems: a scheduling example

  • Author

    Kunz, John C. ; Husain, Nizwer

  • Author_Institution
    IntelliCorp, Mt. View, CA, USA
  • fYear
    1991
  • fDate
    9-11 Apr 1991
  • Firstpage
    2780
  • Abstract
    The models discussed are symbolic, explicitly describing concepts, parameters, and relations among concepts and parameters. They are formal in that they represent the design of the business and its processes as described by professional decision-makers. A methodology is presented for building such model-based systems, and some of the practical issues of building and validating models are discussed
  • Keywords
    knowledge based systems; knowledge representation; manufacturing data processing; scheduling; knowledge representation; knowledge system validation; scheduling; symbolic model based systems; Buildings; Computational modeling; Computer aided software engineering; Knowledge based systems; Predictive models; Process design; Process planning; Processor scheduling; Production facilities; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
  • Conference_Location
    Sacramento, CA
  • Print_ISBN
    0-8186-2163-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.1991.132053
  • Filename
    132053