Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science, 2854)
Language: English
Published by Springer, 2003
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
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In English.
Seller Inventory # ria9783540202592_new
- Title
- Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science, 2854)
- Author
- Hoffmann, Jörg
- Publisher
- Springer
- Publication year
- 2003
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3540202595
- ISBN 13
- 9783540202592
- Item weight
- 506 grams
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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Ria Christie Collections
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