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
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;
Conference_Titel :
Artificial Intelligence Applications, 1991. Proceedings., Seventh IEEE Conference on
Conference_Location :
Miami Beach, FL
Print_ISBN :
0-8186-2135-4
DOI :
10.1109/CAIA.1991.120882