• DocumentCode
    1394584
  • Title

    Explanations in knowledge systems: the roles of the task structure and domain functional models

  • Author

    Tanner, Michael C. ; Keuneke, Anne M.

  • Author_Institution
    Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA
  • Volume
    6
  • Issue
    3
  • fYear
    1991
  • fDate
    6/1/1991 12:00:00 AM
  • Firstpage
    50
  • Lastpage
    57
  • Abstract
    An investigation of explanation (the process by which an expert system explains how it arrived at a particular solution) in the domains of logistics planning and diagnosis is discussed. The research was performed as part of the Strategic Computing Initiative of the US Dept. of Defense´s Defence Advanced Research Projects Agency (DARPA). Types and aspects of explanation are examined. The generic task approach to generating explanations of problem-solving strategies and steps and its implementation in the Mission Planning Assistant (MPA), which plans a particular kind of US Air Force mission are described. MPA uses a generic task tool called the design specialists and plans language. Explanation based on logical task structure is then considered. The use of causal models to confirm the plausibility of diagnostic hypothesis is discussed.<>
  • Keywords
    knowledge based systems; knowledge representation; DARPA; Mission Planning Assistant; Strategic Computing Initiative; design specialists and plans language; diagnosis; diagnostic hypothesis; domain functional models; expert system; generic task approach; generic task tool; logistics planning; plausibility; problem-solving strategies; task structure; Artificial intelligence; Buildings; Expert systems; Filters; Knowledge based systems; Laboratories; Logistics; Modular construction; Problem-solving; Vocabulary;
  • fLanguage
    English
  • Journal_Title
    IEEE Expert
  • Publisher
    ieee
  • ISSN
    0885-9000
  • Type

    jour

  • DOI
    10.1109/64.87685
  • Filename
    87685