• DocumentCode
    1852091
  • Title

    Execution error recovery for planning systems

  • Author

    Chang, Kai Hsiung ; Edhala, Mammatha

  • Author_Institution
    Comput. Sci. & Eng., Auburn Univ., AL, USA
  • fYear
    1988
  • fDate
    16-18 Mar 1988
  • Firstpage
    492
  • Lastpage
    496
  • Abstract
    A system is presented that is capable of handling failures during execution. The error recovery process consists of error detection, error identification and plan repair. The problem of error identification has been solved by using the condition-oriented approach, which is the central theme of this study. Error classification is necessary for accurate modification of a failing plan. The classification process is accomplished by checking the role of a failed condition in the plan. If all the various conditions in the plan are stored during the plan-generation phase, the affected part of the plan can be easily located. Four error categories are used, and the modification processes are described
  • Keywords
    artificial intelligence; system recovery; artificial intelligence; condition-oriented error identification; error classification; execution error recovery; planning systems; Artificial intelligence; Computer errors; Computer science; Condition monitoring; Phase detection; Problem-solving; Process planning; Tree data structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications, 1988. Conference Proceedings., Seventh Annual International Phoenix Conference on
  • Conference_Location
    Scottsdale, AZ
  • Print_ISBN
    0-8186-0830-7
  • Type

    conf

  • DOI
    10.1109/PCCC.1988.10127
  • Filename
    10127