Arrow Research search
Back to SoCS

SoCS 2016

Batch Repair with Heuristic Search

Conference Paper Short Papers Algorithms and Complexity · Artificial Intelligence · Automated Planning and Scheduling

Abstract

Recent work has raised the challenge of efficient automated troubleshooting in domains where repairing a set of components in a single repair action is cheaper than repairing each of them separately. This corresponds to cases where there is a non-negligible overhead to initiating a repair action and to testing the system after a repair action. The problem can be formalized as a combinatorial search problem, propose a new objective function to optimize, and investigate several search frameworks to solve it. The resulting search space is not monotone, but we are able to devise an admissible heuristic for it that enables solving it optimally in some cases with A*. Empirical evaluation on standard model-based diagnosis benchmark systems compare the A*-based approach with other search algorithms

Authors

Keywords

  • Heuristic searchl
  • Automated troubleshooting

Context

Venue
International Symposium on Combinatorial Search
Archive span
2010-2024
Indexed papers
598
Paper id
24313625638574743