Utilizing problem structure in planning : a local search approach
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...
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| Glavni autor: | |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Serija: | Lecture notes in computer science. Lecture notes in artificial intelligence
2854 |
| Teme: | |
| Online pristup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Bilješka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Utilizing problem structure in planning, a local search approach, Jorg Hoffmann, Berlin, Springer, 2003, 1 vol. (XIII-251 p.), Lecture notes in computer science, 3-540-20259-5 • Utilizing Problem Structure in Planning, Texte imprimé, 9783662182208 |
Sadržaj:
- 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.