Utilizing Problem Structure in Planning A Local Search Approach /

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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Bibliographic Details
Main Author: Hoffmann, Jörg (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
Edition:1st ed. 2003.
Series:Lecture Notes in Artificial Intelligence ; 2854
Subjects:
Artificial intelligence.
Algorithms.
Artificial Intelligence.
Algorithm Analysis and Problem Complexity.
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.

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