Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Berlin : Springer
    UID:
    gbv_749171820
    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
    RVK:
    Keywords: Automatische Handlungsplanung ; Suchverfahren ; Heuristik ; Hochschulschrift
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages