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
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