• DocumentCode
    1595319
  • Title

    Execution monitoring and recovery planning with time

  • Author

    Musliner, David J. ; Durfee, Edmund H. ; Shin, Kang G.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • fYear
    1991
  • Firstpage
    385
  • Lastpage
    388
  • Abstract
    Focusing on the J.F. Allen and J.A. Koomen (1983) temporal planning scheme, the authors characterize the possible locations for failure during plan execution. By observing the interval collapse criterion during plan generation, the planner is able to integrate the planning of goal-directed actions and execution verification actions. This allows the planner to schedule sensor usage and reason about sensing and data processing delays. The authors also present a simple and robust recovery planning scheme which inserts corrective steps into the original plan. The authors generate purely inserted recovery plans efficiently, without destroying the original plan and without unnecessary temporal inferencing
  • Keywords
    computerised monitoring; delays; fault location; planning (artificial intelligence); scheduling; system recovery; corrective steps; data processing delays; execution monitoring; execution verification actions; failure location; goal-directed actions; interval collapse criterion; plan execution; plan generation; reasoning; recovery planning; sensing delays; sensor usage scheduling; temporal planning scheme; Artificial intelligence; Computerized monitoring; Condition monitoring; Data processing; Delay; Logic; Predictive models; Robots; Robustness; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence Applications, 1991. Proceedings., Seventh IEEE Conference on
  • Conference_Location
    Miami Beach, FL
  • Print_ISBN
    0-8186-2135-4
  • Type

    conf

  • DOI
    10.1109/CAIA.1991.120897
  • Filename
    120897