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AAMAS 2023

Blame Attribution for Multi-Agent Pathfinding Execution Failures

Conference Paper Poster Session I Autonomous Agents and Multiagent Systems

Abstract

When executing large Multi-Agent Path Finding (MAPF) scenarios, faulty events can occur over time and contribute to the overall degraded system performance. This raises the problem of how to attribute blame over the set of faulty events. The first contribution of this paper is to define this problem and propose the well-known Shapley value for solving it. The second contribution is an efficient approach for approximating Shapley values that is inspired by diagnosis concepts.

Authors

Keywords

  • Multi-Agent Systems
  • Multi-Agent Pathfinding
  • Diagnosis
  • Blame
  • Attribution

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2025
Indexed papers
7403
Paper id
38971813002993370