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» Robustness in Probabilistic Temporal Planning
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IJAR
2002
93views more  IJAR 2002»
13 years 5 months ago
Troubleshooting using probabilistic networks and value of information
We develop a decision-theoretic method that yields approximate, low cost troubleshooting plans by making more relevant observations and devoting more time to generate a plan. The ...
Korhan Gökçay, Taner Bilgiç
AIPS
2007
13 years 8 months ago
A Fast Incremental Algorithm for Maintaining Dispatchability of Partially Controllable Plans
Autonomous systems operating in real-world environments must be able to plan, schedule, and execute missions while robustly adapting to uncertainty and disturbances. Previous work...
Julie A. Shah, John Stedl, Brian C. Williams, Paul...
IJCAI
1997
13 years 7 months ago
Robust Periodic Planning and Execution for Autonomous Spacecraft
The New Millennium Remote Agent (NMRA) will be the rst on-board AI system to control an actual spacecraft. The spacecraft domain raises a number of challenges for planning and exe...
Barney Pell, Erann Gat, Ron Keesing, Nicola Muscet...
AIPS
2008
13 years 8 months ago
A Temporal Logic-Based Planning and Execution Monitoring System
As no plan can cover all possible contingencies, the ability to detect failures during plan execution is crucial to the robustness of any autonomous system operating in a dynamic ...
Jonas Kvarnström, Fredrik Heintz, Patrick Doh...
AIPS
2003
13 years 7 months ago
A Framework for Planning in Continuous-time Stochastic Domains
We propose a framework for policy generation in continuoustime stochastic domains with concurrent actions and events of uncertain duration. We make no assumptions regarding the co...
Håkan L. S. Younes, David J. Musliner, Reid ...