• DocumentCode
    2400047
  • Title

    A model-based approach for organizing quantitative computations

  • Author

    Sticklen, Jon ; Kamel, Ahmed ; Bond, W.E.

  • Author_Institution
    AI/KBS Lab., Michigan State Univ., East lansing, MI, USA
  • fYear
    1991
  • fDate
    1-2 Apr 1991
  • Firstpage
    210
  • Lastpage
    218
  • Abstract
    Model based reasoning (MBR) is currently receiving wide spread attention because it offers a way to circumvent the brittleness of reasoning systems built solely on associational knowledge. To date, most MBR approaches have focused on the use and manipulation of qualitative models. The authors report their experience in applying techniques of functional reasoning to the general problem of organizing quantitative calculations. As a testbed, they have solved a problem initially posed at the Model-Based Diagnosis workshop (Paris, July, 1989): representing an automotive cruise control system. The results show that the principles of the functional reasoning approach can provide leverage in device domains characterized by quantitative data. A discussion of the current state of research in model based reasoning is included
  • Keywords
    artificial intelligence; automobiles; inference mechanisms; velocity control; artificial intelligence; automotive cruise control system; functional reasoning; inference mechanisms; model based reasoning; Application software; Bonding; Computational modeling; Laboratories; Mathematical model; Medical simulation; Organizing; Physics; Problem-solving; Vents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AI, Simulation and Planning in High Autonomy Systems, 1991. Integrating Qualitative and Quantitative System Knowledge, Proceedings of the Second Annual Conference on
  • Conference_Location
    Cocoa Beach, FL
  • Print_ISBN
    0-8186-2162-1
  • Type

    conf

  • DOI
    10.1109/AIHAS.1991.138473
  • Filename
    138473