• DocumentCode
    2804555
  • Title

    The formalist manifesto [artificial intelligence]

  • Author

    Banerji, R.B. ; Hodgson, J.P.E.

  • Author_Institution
    St. Joseph´´s Univ., Philadelphia, PA, USA
  • fYear
    1990
  • fDate
    5-7 Sep 1990
  • Firstpage
    1152
  • Abstract
    A categorical model of problem solving is introduced. The concept is that domain-dependent knowledge can also take the form of structural knowledge about the domain and, more specifically, that the decomposition methods that have proved to be so effective in mathematical reasoning can also be applied in the case of artificial intelligence systems. The fact that such knowledge is superficially more arcane because of its abstract nature does not automatically indict it as being necessarily weak. It is shown that a number of algebraic approaches to problem solving can be incorporated into the viewpoint
  • Keywords
    artificial intelligence; inference mechanisms; artificial intelligence; categorical model; decomposition methods; domain-dependent knowledge; mathematical reasoning; problem solving; structural knowledge; Artificial intelligence; Buildings; Global Positioning System; Knowledge representation; Laboratories; Large-scale systems; Problem-solving; Production systems; Rhetoric; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
  • Conference_Location
    Philadelphia, PA
  • ISSN
    2158-9860
  • Print_ISBN
    0-8186-2108-7
  • Type

    conf

  • DOI
    10.1109/ISIC.1990.128599
  • Filename
    128599