• DocumentCode
    3527096
  • Title

    Distributed case-based planning: Multi-agent cooperation for high autonomy

  • Author

    Britanik, J. ; Marefat, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
  • fYear
    1993
  • fDate
    20-22 Sep 1993
  • Firstpage
    295
  • Lastpage
    301
  • Abstract
    A drawback of typical knowledge-based systems, including case-based reasoning systems, is that human intervention is often unavoidable when there is a lack of knowledge necessary to solve a problem. The concept of cooperative case-based reasoning, where a case-based system may interact with another case-based system or other knowledge-based system to acquire the missing knowledge it needs to solve a problem is introduced. The basic mechanism by which this knowledge transfer takes place is the knowledge interface. The knowledge interface translates information in a knowledge-based system and places it into a globally recognized format; likewise, the knowledge interface converts information in the globally recognized format and places it into the context of the local system
  • Keywords
    case-based reasoning; cooperative systems; knowledge based systems; planning (artificial intelligence); problem solving; software agents; Multi-agent cooperation; case-based reasoning systems; cooperative case-based reasoning; high autonomy; human intervention; knowledge interface; knowledge transfer; knowledge-based systems; missing knowledge; problem solving; Humans; Knowledge based systems; Knowledge transfer; Libraries; Problem-solving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AI, Simulation, and Planning in High Autonomy Systems, 1993. Integrating Virtual Reality and Model-Based Environments. Proceedings. Fourth Annual Conference
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-8186-4020-0
  • Type

    conf

  • DOI
    10.1109/AIHAS.1993.410555
  • Filename
    410555