Utilizing Problem Structure in Planning A Local Search Approach /

• Κύριος συγγραφέας: Hoffmann, Jörg (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Έκδοση: 1st ed. 2003.
• Σειρά: Lecture Notes in Artificial Intelligence ; 2854
• Θέματα: Artificial intelligence.; Algorithms.; Artificial Intelligence.; Algorithm Analysis and Problem Complexity.

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...

Πίνακας περιεχομένων:

• 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.