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Automated Planning: Theory & Practice (The Morgan Kaufmann Series in Artificial Intelligence),Used
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Automated planning technology now plays a significant role in a variety of demanding applications, ranging from controlling space vehicles and robots to playing the game of bridge. These realworld applications create new opportunities for synergy between theory and practice: observing what works well in practice leads to better theories of planning, and better theories lead to better performance of practical applications.Automated Planning mirrors this dialogue by offering a comprehensive, uptodate resource on both the theory and practice of automated planning. The book goes well beyond classical planning, to include temporal planning, resource scheduling, planning under uncertainty, and modern techniques for plan generation, such as task decomposition, propositional satisfiability, constraint satisfaction, and model checking.The authors combine over 30 years experience in planning research and development to offer an invaluable text to researchers, professionals, and graduate students.
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