Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence): 2854 - Brossura

Hoffmann, Jorg

Brossura

ISBN 10: 3540202595 ISBN 13: 9783540202592

Casa editrice: Springer, 2004

Riassunto

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.

Su questo libro

Contenuti

Planning: Motivation, Definitions, Methodology.- 1: Introduction.- 2: Planning.- A Local Search Approach.- 3: Base Architecture.- 4: Dead Ends.- 5: Goal Orderings.- 6: The AIPS-2000 Competition.- Local Search Topology.- 7: Gathering Insights.- 8: Verifying the h?+? Hypotheses.- 9: Supporting the hFF Hypotheses.- 10: Discussion.- Appendix A: Formalized Benchmark Domains.- Appendix B: Automated Instance Generation.

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2004
• Lingua: Inglese
• ISBN 10: 3540202595
• ISBN 13: 9783540202592
• Rilegatura: Copertina flessibile
• Numero di pagine: 272
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania