• DocumentCode
    486690
  • Title

    Domains of Artificial Intelligence Relevant to Systems

  • Author

    Birdwell, J. Douglas ; Cockett, J. Robin B. ; Cockett, B. ; Gabriel, John R.

  • Author_Institution
    Department of Electrical Engineering, University of Tennessee, Knoxville, TN 37996-2100
  • fYear
    1986
  • fDate
    18-20 June 1986
  • Firstpage
    1153
  • Lastpage
    1158
  • Abstract
    This paper summarizes the authors\´ views of the areas where techniques from artificial intelligence may prove applicable to systems problems. For this paper, we define "artificial intelligence" as the application of symbolic reasoning on stored knowledge. The concept of knowledge is left imprecise; knowledge may be approximate and symbolic rather than exact and numeric. The components of the field of artificial intelligence which we consider most relevant to the systems community are expert systems, knowledge representation, knowledge base query and inference, data base design and access, and mixed-language programming. We will discuss candidate areas for research in the application of artificial intelligence from two perspectives: current problems in artificial intelligence the solution of which would positively affect system applications, and areas within systems which we feel would benefit from the application of artificial intelligence techniques.
  • Keywords
    Artificial intelligence; Computer science; Educational institutions; Expert systems; Humans; Knowledge representation; Mathematics; Pathology; Physics; Software algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1986
  • Conference_Location
    Seattle, WA, USA
  • Type

    conf

  • Filename
    4789108