Utilizing Problem Structure in Planning
Springer Berlin (Verlag)
978-3-540-20259-2 (ISBN)
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.
Dr. Jörg Hoffmann ist Professor für Elektrische Meßtechnik, Prozeß- und Analysenmeßtechnik in Osnabrück, Herausgeber zum "Handbuch der Messtechnik" und "Taschenbuch der Messtechnik.
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.
| Erscheint lt. Verlag | 10.10.2003 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XVIII, 254 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 233 mm |
| Gewicht | 425 g |
| Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | AI Planning • Algorithm analysis and problem complexity • algorithms • Artificial Intelligence • Autonomous Agents • domain-independant planning • fast-forward planning systems • Heuristics • Intelligence • Künstliche Intelligenz • Local Search • local search topology • Planning • Problem Solving • problem structure • problem structure patterns • robot • Search • Search algorithms • software agent |
| ISBN-10 | 3-540-20259-5 / 3540202595 |
| ISBN-13 | 978-3-540-20259-2 / 9783540202592 |
| Zustand | Neuware |
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