• DocumentCode
    3338196
  • Title

    Higher-level causal reasoning for diagnosis

  • Author

    Schaefer, Philip

  • Author_Institution
    Martin Marietta Astronaut. Group, Denver, CO, USA
  • fYear
    1988
  • fDate
    25-27 May 1988
  • Firstpage
    33
  • Lastpage
    38
  • Abstract
    The author presents a higher-level technique for causal reasoning and diagnosis. Modules are the basic components in the resulting representation. Considerations unique to causal reasoning at a high level are discussed, and an algorithm and examples incorporating the resulting characteristics are presented. Using higher-level causal reasoning has been shown to be a useful technique for introducing the flexibility of causal reasoning to complex systems for which module-level diagnosis is desired. A prototype system, FEXPR, has been successfully implemented to demonstrate the higher-level causal diagnosis approach
  • Keywords
    artificial intelligence; knowledge engineering; FEXPR; algorithm; complex systems; flexibility; higher-level causal diagnosis; higher-level causal reasoning; module-level diagnosis; prototype system; Artificial intelligence; Association rules; Automation; Circuit faults; Diagnostic expert systems; Fault diagnosis; Intelligent systems; Predictive models; Robustness; Testing;
  • 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.1988.13266
  • Filename
    13266