• DocumentCode
    1591303
  • Title

    Combining decision theory and hierarchical planning for a time-dependent robotic application

  • Author

    Gmytrasiewicz, Piotr J. ; Durfee, Edmund H. ; Wehe, David K.

  • Author_Institution
    Michigan Univ., Ann Arbor, MI, USA
  • fYear
    1991
  • Firstpage
    282
  • Lastpage
    288
  • Abstract
    The authors present the Rational Reasoning System (RRS), which integrates hierarchical planning with decision theory in order to make rational decisions in time-dependent situations. RRS controls a robot in a simulated hazardous environment and allows it to address time-dependent emergencies of various urgencies. RRS uses decision theory to constrain and focus the hierarchical construction of plans, introducing computationally practical meta-reasoning methods that factor costs of planning into an overall optimal reasoning and acting behavior. The authors illustrate RRS´s capabilities in a simulated nuclear power plant. The authors propose that decision theory should be a basis for any truly autonomous rational robotic system
  • Keywords
    decision theory; industrial robots; inference mechanisms; nuclear power stations; planning (artificial intelligence); RRS; Rational Reasoning System; decision theory; hierarchical planning; meta-reasoning methods; optimal reasoning; simulated hazardous environment; simulated nuclear power plant; time-dependent robotic application; time-dependent situations; Application software; Computational modeling; Computer science; Decision theory; Fires; Orbital robotics; Power generation; Robot kinematics; Robotics and automation; Utility theory;
  • 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.1991.120882
  • Filename
    120882