• DocumentCode
    2394257
  • Title

    Abstraction morphisms for task planning and execution

  • Author

    Luh, Cheng-Jye ; Zeigler, Bernard P.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
  • fYear
    1991
  • fDate
    1-2 Apr 1991
  • Firstpage
    50
  • Lastpage
    59
  • Abstract
    Deals with further efforts to develop abstraction mechanisms for systematic derivation of related models through the use of system morphisms. The authors describe an abstraction mechanism for mapping a task plan hierarchy into an isomorphic tree of model abstractions that supports hierarchical task execution. The task plan hierarchy is formulated in a model-based planning approach. They also show how the hierarchical execution structure can be constructed. Then the endomorphism concept employed in the modelling of autonomous systems is illustrated. The DEVS-Scheme knowledge-based, discrete event simulation environment is used to test the models and tools in an autonomous laboratory application
  • Keywords
    hierarchical systems; knowledge engineering; planning (artificial intelligence); trees (mathematics); DEVS-Scheme; abstraction; autonomous laboratory; isomorphic tree; mapping; model-based planning; system morphisms; task execution; task plan hierarchy; task planning; Automation; Decoding; Discrete event simulation; Laboratories; Problem-solving; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AI, Simulation and Planning in High Autonomy Systems, 1991. Integrating Qualitative and Quantitative System Knowledge, Proceedings of the Second Annual Conference on
  • Conference_Location
    Cocoa Beach, FL
  • Print_ISBN
    0-8186-2162-1
  • Type

    conf

  • DOI
    10.1109/AIHAS.1991.138448
  • Filename
    138448