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Preview — Automated Planning by Malik Ghallab. Dana Nau. Paolo Traverso.

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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 real-world 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 le 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 real-world 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, up-to-date resource on both the theory and practice of automated planning.

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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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Integrating Task and Motion Planning

Lists with This Book. This book is not yet featured on Listopia. Community Reviews. 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. Zobrazit eKnihu.

Automated Planning : Theory and Practice. Elsevier , Obsah Chapter 1 Introduction and Overview.

Automated Planning Theory & Practice The Morgan Kaufmann Series in Artificial Intelligence

Classical Planning. Neoclassical Planning.

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Heuristics and Control Strategies. Planning with Time and Resources. Planning under Uncertainty. Case Studies and Applications. The Gaussian sampling strategy for probabilistic roadmap planners. In Proc.


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  5. Strana - J. Davis and A. The representation and recognition of action using temporal templates. Strana - R. Alami, R. Chatila, S.