• DocumentCode
    3339992
  • Title

    Qualitative, causal reasoning about device behavior

  • Author

    Iwasaki, Yumi

  • Author_Institution
    Dept. of Comput. Sci., Carnegie-Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1988
  • fDate
    25-27 May 1988
  • Firstpage
    39
  • Lastpage
    44
  • Abstract
    The methods of causal ordering provide an operational means to determine the causal relations among the variables in a model of the equilibrium behavior of a device. The author extends the method to dynamic models as well as mixed models of equilibrium and dynamic equations. He defines self-containment for dynamic and mixed structures and describes causal ordering in such structures. For correct application of the method of causal ordering, the equations comprising the model of a device must be such that each of them comes from an understanding of a conceptually distinct mechanism. To ensure that an equation model satisfies this requirement, an explicit representation of the understanding of mechanisms underlying an equation model was developed. Equations are generated automatically from this representation. An example involving the mixed model of an evaporator is used to illustrate the proposed approach
  • Keywords
    artificial intelligence; knowledge engineering; causal ordering; causal relations; device behavior; dynamic equations; dynamic models; equation model; equilibrium behavior; evaporator; mixed structures; qualitative causal reasoning; self-containment; variables; Aerodynamics; Aerospace electronics; Artificial intelligence; Computer science; Contracts; Equations; Monitoring; Predictive models; Stability analysis; US Department of Defense;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on
  • Conference_Location
    Hitachi City
  • Type

    conf

  • DOI
    10.1109/AIIA.1988.13267
  • Filename
    13267