Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science #2854)
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BookPal × TalezoUtilizing Problem Structure in Planning
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.
The book, Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science #2854) [Bulk, Wholesale, Quantity] ISBN#9783540202592 in Paperback by Jörg Hoffmann may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer Berlin Heidelberg
- Author
- Jörg Hoffmann
- Format
- Paperback
- Published
- Oct 10, 2003
- ISBN-13
- 9783540202592
- Pages
- 254
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| Copies | Price per copy | You save |
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| 25 – 49 | $48.39 | 12% off list |
| 50 – 99 | $47.84 | 13% off list |
| 100+ | $47.29 | 14% off list |
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Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science #2854)
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