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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence): 2854 - Tapa blanda
Sinopsis
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.
Publicado por
Springer, Berlin, 2003
ISBN 10: 3540202595
ISBN 13: 9783540202592
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Librería: Emile Kerssemakers ILAB, Heerlen, Holanda
Calificación del vendedor: 5 de 5 estrellas
23 cm. original paperback. 252 pp. references. index. "Lecture Notes in Artificial Intelligence". -(libr labels, library stamps, otherwise (very) good). 420g. Nº de ref. del artículo: 71815
Cantidad disponible: 1 disponibles
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Utilizing Problem Structure in Planning
Publicado por
Springer Berlin Heidelberg Okt 2003, 2003
ISBN 10: 3540202595
ISBN 13: 9783540202592
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783540202592
Cantidad disponible: 2 disponibles
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Utilizing Problem Structure in Planning : A Local Search Approach
Publicado por
Springer Berlin Heidelberg, 2003
ISBN 10: 3540202595
ISBN 13: 9783540202592
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783540202592
Cantidad disponible: 1 disponibles
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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science, 2854)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Utilizing Problem Structure in Planning : A Local Search Approach
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: 5900688-n
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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Librería: Chiron Media, Wallingford, Reino Unido
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Paperback. Condición: New. Nº de ref. del artículo: 6666-IUK-9783540202592
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Utilizing Problem Structure in Planning : A Local Search Approach
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Condición: New. Nº de ref. del artículo: 5900688-n
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Utilizing Problem Structure in Planning
Publicado por
Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2003, 2003
ISBN 10: 3540202595
ISBN 13: 9783540202592
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783540202592
Cantidad disponible: 2 disponibles
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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Librería: GuthrieBooks, Spring Branch, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. Nº de ref. del artículo: 141216113
Cantidad disponible: 1 disponibles
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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science, 2854)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020162456
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