| Utilizing Problem Structure in Planning: A Local Search Approach 2003 Edition Contributor(s): Hoffmann, Jörg (Author) |
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ISBN: 3540202595 ISBN-13: 9783540202592 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: October 2003 |
| Additional Information |
| BISAC Categories: - Computers | Programming - Algorithms - Computers | Expert Systems - Computers | Computer Science |
| Dewey: 006.333 |
| LCCN: 2003065658 |
| Series: Lecture Notes in Computer Science / Lecture Notes in Artific |
| Physical Information: 0.57" H x 6.14" W x 9.21" (0.85 lbs) 254 pages |
| Themes: - Topical - Family |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |