• DocumentCode
    3255601
  • Title

    Aggregation in model-based reasoning using prime models: a preliminary report

  • Author

    Hewett, Rattikorn

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Florida Atlantic Univ., Boca Raton, FL, USA
  • fYear
    1992
  • fDate
    28-30 May 1992
  • Firstpage
    292
  • Lastpage
    295
  • Abstract
    The paper presents how domain models can be aggregated into intermediate levels, each of which can be realized as an instance of a corresponding abstract prime model. One advantage of model aggregations is its ability to reason from first principles at different levels of decomposition. This is especially desirable when dealing with large and complex physical systems
  • Keywords
    inference mechanisms; abstract prime model; domain models; first principles reasoning; model aggregations; model-based reasoning; physical systems; Artificial intelligence; Circulatory system; Computational efficiency; Computer science; Humans; Immune system; Inference mechanisms; Natural languages; Problem-solving; Respiratory system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Information, 1992. Proceedings. ICCI '92., Fourth International Conference on
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    0-8186-2812-X
  • Type

    conf

  • DOI
    10.1109/ICCI.1992.227651
  • Filename
    227651
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3255601