Utilizing Problem Structure in Planning: A Local Search Approach - Lecture Notes in Artificial Intelligence - Joerg Hoffmann - 書籍 - Springer-Verlag Berlin and Heidelberg Gm - 9783540202592 - 2003年10月10日
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Joerg Hoffmann
Utilizing Problem Structure in Planning: A Local Search Approach - Lecture Notes in Artificial Intelligence 2003 edition

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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.

254 pages, biography

メディア 書籍     Paperback Book   (ソフトカバーで背表紙を接着した本)
リリース済み 2003年10月10日
ISBN13 9783540202592
出版社 Springer-Verlag Berlin and Heidelberg Gm
ページ数 254
寸法 155 × 233 × 14 mm   ·   385 g
言語 英語  

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