• DocumentCode
    1499233
  • Title

    Representation of models for expert problem solving in physics

  • Author

    Kook, Hyung Joon ; Novak, Gordon S., Jr.

  • Author_Institution
    Dept of Comput. Sci., King Sejong Univ., Seoul, South Korea
  • Volume
    3
  • Issue
    1
  • fYear
    1991
  • fDate
    3/1/1991 12:00:00 AM
  • Firstpage
    48
  • Lastpage
    54
  • Abstract
    A computer program, APEX, is proposed to investigate idealized formal models representing physics problems. Two types of models are defined: canonical physical objects and physical models. During problem solving, the problem is represented as a data connection network, which is progressively augmented by these models in the form of additional network elements. APEX employs views as a representational framework for connecting the initially informal objects to the formal models of the domain. The view framework supports multiple representations (e.g., viewing many objects as a single canonical physical object), handling of incompletely specified problems, and invertibility of the views. This computational framework provides a powerful representational mechanism that allows a finite set of physical principles to be applied to a potentially infinite variety of problems. As a knowledge engineering technique, views allow general principles to be applied to a variety of objects whose representations differ
  • Keywords
    expert systems; knowledge representation; physics computing; APEX; canonical physical objects; computer program; data connection network; expert problem solving; idealized formal models; knowledge engineering; models representation; multiple representations; physical models; physics; representational framework; Joining processes; Knowledge engineering; Knowledge representation; Mathematical model; Military computing; Object oriented modeling; Object oriented programming; Physics computing; Power engineering computing; Problem-solving;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/69.75888
  • Filename
    75888