Using self-diagnosis to adapt organizational structures
Proceedings of the fifth international conference on Autonomous agents
Coordinating Mutually Exclusive Resources using GPGP
Autonomous Agents and Multi-Agent Systems
A distributed framework for solving the Multiagent Plan Coordination Problem
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
On the design of coordination diagnosis algorithms for teams of situated agents
Artificial Intelligence
Models and methods for plan diagnosis
Autonomous Agents and Multi-Agent Systems
Monitoring the Execution of a Multi-Agent Plan: Dealing with Partial Observability
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
OBDD-based universal planning for synchronized agents in non-deterministic domains
Journal of Artificial Intelligence Research
Conformant planning via symbolic model checking
Journal of Artificial Intelligence Research
Agent cooperation for monitoring and diagnosing a MAP
MATES'09 Proceedings of the 7th German conference on Multiagent system technologies
A Decentralised Symbolic Diagnosis Approach
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Intelligent supervision for robust plan execution
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
Diagnosis of coordination failures: a matrix-based approach
Autonomous Agents and Multi-Agent Systems
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This paper considers the execution of a Multi-Agent Plan in a partially observable environment, and faces the problem of recovering from action failures. The paper formalizes a local plan repair strategy, where each agent in the system is responsible for controlling (monitoring and diagnosing) the actions it executes, and for autonomously repairing its own plan when an action failure is detected. The paper describes also how to mitigate the impact of an action failure on the plans of other agents when the local recovery strategy fails.