Ron Zvi Stern
Senior Academic
Blame Attribution for Multi-Agent Pathfinding Execution Failures
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.
| Publication language | English |
| Pages | 2358-2360 |
| Journal | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
| Volume | 2023-May |
| Publication status | Published - 01.01.2023 |
Keywords
Blame Attribution
Diagnosis
Multi-Agent Pathfinding
Multi-Agent Systems
ASJC Scopus subject areas
Software
Control and Systems Engineering
Artificial Intelligence
