Format:
Online-Ressource (XIII, 251 p. Also available online)
,
digital
Edition:
Springer eBook Collection. Computer Science
ISBN:
9783540396079
,
3540202595
,
9783540202592
Series Statement:
Lecture Notes in Computer Science 2854
Content:
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
Note:
Literaturverz. S. [243] - 247
Additional Edition:
ISBN 9783540202592
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783662182208
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783540202592
Language:
English
Subjects:
Computer Science
Keywords:
Automatische Handlungsplanung
;
Suchverfahren
;
Heuristik
;
Hochschulschrift
URL:
Volltext
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