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Utilizing Problem Structure in Planning: A Local Search Approach: 2854 (Lecture Notes in Computer Science, 2854) - Softcover
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Planning is a crucial skill for any autonomous agent, be it a physically embedded agent, such as a robot, or a purely simulated software agent. For this reason, planning, as a central research area of artificial intelligence from its beginnings, has gained even more attention and importance recently. After giving a general introduction to AI planning, the book describes and carefully evaluates the algorithmic techniques used in fast-forward planning systems (FF), demonstrating their excellent performance in many wellknown benchmark domains. In advance, an original and detailed investigation identifies the main patterns of structure which cause the performance of FF, categorizing planning domains in a taxonomy of different classes with respect to their aptitude for being solved by heuristic approaches, such as FF. As shown, the majority of the planning benchmark domains lie in classes which are easy to solve.
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Utilizing problem structure in planning. a local search approach.
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Utilizing Problem Structure in Planning : A Local Search Approach
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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science, 2854)
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Utilizing Problem Structure in Planning
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Springer Berlin Heidelberg Okt 2003, 2003
ISBN 10: 3540202595
ISBN 13: 9783540202592
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Planning is a crucial skill for any autonomous agent, be it a physically embedded agent, such as a robot, or a purely simulated software agent. For this reason, planning, as a central research area of artificial intelligence from its beginnings, has gained even more attention and importance recently.After giving a general introduction to AI planning, the book describes and carefully evaluates the algorithmic techniques used in fast-forward planning systems (FF), demonstrating their excellent performance in many wellknown benchmark domains. In advance, an original and detailed investigation identifies the main patterns of structure which cause the performance of FF, categorizing planning domains in a taxonomy of different classes with respect to their aptitude for being solved by heuristic approaches, such as FF. As shown, the majority of the planning benchmark domains lie in classes which are easy to solve. 268 pp. Englisch. Seller Inventory # 9783540202592
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Utilizing Problem Structure in Planning : A Local Search Approach
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Springer Berlin Heidelberg, 2003
ISBN 10: 3540202595
ISBN 13: 9783540202592
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Planning is a crucial skill for any autonomous agent, be it a physically embedded agent, such as a robot, or a purely simulated software agent. For this reason, planning, as a central research area of artificial intelligence from its beginnings, has gained even more attention and importance recently.After giving a general introduction to AI planning, the book describes and carefully evaluates the algorithmic techniques used in fast-forward planning systems (FF), demonstrating their excellent performance in many wellknown benchmark domains. In advance, an original and detailed investigation identifies the main patterns of structure which cause the performance of FF, categorizing planning domains in a taxonomy of different classes with respect to their aptitude for being solved by heuristic approaches, such as FF. As shown, the majority of the planning benchmark domains lie in classes which are easy to solve. Seller Inventory # 9783540202592
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Utilizing Problem Structure in Planning : A Local Search Approach
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Utilizing Problem Structure in Planning
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ISBN 10: 3540202595
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Taschenbuch. Condition: Neu. Neuware -Planning is a crucial skill for any autonomous agent, be it a physically embedded agent, such as a robot, or a purely simulated software agent. For this reason, planning, as a central research area of artificial intelligence from its beginnings, has gained even more attention and importance recently. After giving a general introduction to AI planning, the book describes and carefully evaluates the algorithmic techniques used in fast-forward planning systems (FF), demonstrating their excellent performance in many wellknown benchmark domains. In advance, an original and detailed investigation identifies the main patterns of structure which cause the performance of FF, categorizing planning domains in a taxonomy of different classes with respect to their aptitude for being solved by heuristic approaches, such as FF. As shown, the majority of the planning benchmark domains lie in classes which are easy to solve.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch. Seller Inventory # 9783540202592
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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science, 2854)
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