• DocumentCode
    2362429
  • Title

    Extending causal sequences to make teleological distinctions

  • Author

    Thadani, Sunil

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA
  • fYear
    1993
  • fDate
    1-5 Mar 1993
  • Firstpage
    468
  • Abstract
    Summary form only given. The causal knowledge of how a specific behavior of a device arises from the functions of its components is useful for tasks like diagnosis, redesign, and prediction. This knowledge is usually represented using causal sequences (CSs). Annotations on the transitions in a CS often refer to the functions of device components as causes for the state transitions. The CS representation does not support any teleological distinctions between the functions of the components which is useful in tasks like redesign. Two different types of function, `to achieve´ and `to prevent,´ have been proposed earlier. However, the way CSs have usually been interpreted for various tasks implicitly assumes that the component functions are of the `to achieve´ type only. The author formalizes the current interpretive semantics of CSs, that is the inferences supported by CSs, and then extends these interpretive semantics to enable CSs to represent and reason about behaviors that refer to the `to prevent´ type of component functions as well
  • Keywords
    inference mechanisms; knowledge representation; CS representation; causal knowledge; causal sequences; device components; inferences; interpretive semantics; state transitions; teleological distinctions; Artificial intelligence; Cascading style sheets; Cooling; Image generation; Information science; Laboratories; Lenses; Switches; Temperature; Vents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence for Applications, 1993. Proceedings., Ninth Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-8186-3840-0
  • Type

    conf

  • DOI
    10.1109/CAIA.1993.366615
  • Filename
    366615