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Professor Dana S. Nau (CS/ISR) is the Principal Investigator for a one-year, $140,000 NSF award for "Pushing the Boundaries of AI Planning." This project has the goal of developing planner-generalization techniques that can be used to modify AI planning algorithms to remove some of the restrictive assumptions found in classical approaches to AI planning, such as: perfect knowledge about actions and objects and history of the planning environment, static planning environment, instantaneous actions, discrete time, determinism, and black-and-white solution criteria.
?June 2004
June 2, 2004
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