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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) - Couverture souple
Synopsis
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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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.
Edité par
Springer, Berlin, 2003
ISBN 10 : 3540202595
ISBN 13 : 9783540202592
Ancien ou d'occasion
Couverture souple
Vendeur : Emile Kerssemakers ILAB, Heerlen, Pays-Bas
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23 cm. original paperback. 252 pp. references. index. "Lecture Notes in Artificial Intelligence". -(libr labels, library stamps, otherwise (very) good). 420g. N° de réf. du vendeur 71815
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Utilizing Problem Structure in Planning : A Local Search Approach
Edité par
Springer Berlin Heidelberg, 2003
ISBN 10 : 3540202595
ISBN 13 : 9783540202592
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783540202592
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Utilizing Problem Structure in Planning
Edité par
Springer Berlin Heidelberg Okt 2003, 2003
ISBN 10 : 3540202595
ISBN 13 : 9783540202592
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783540202592
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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science, 2854)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Paperback. Etat : New. N° de réf. du vendeur 6666-IUK-9783540202592
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Utilizing Problem Structure in Planning
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2003, 2003
ISBN 10 : 3540202595
ISBN 13 : 9783540202592
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783540202592
Quantité disponible : 2 disponible(s)
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Utilizing Problem Structure in Planning : A Local Search Approach
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Utilizing Problem Structure in Planning : A Local Search Approach
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Edité par
Springer, 2003
ISBN 10 : 3540202595
ISBN 13 : 9783540202592
Ancien ou d'occasion
Paperback
Vendeur : GuthrieBooks, Spring Branch, TX, Etats-Unis
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Paperback. Etat : Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. N° de réf. du vendeur 141216113
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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science, 2854)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLIING23Mar3113020162456
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