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
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
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In this paper we formalize a local strategy for plan repair in a Multi Agent Plan, where agents exhibit a collaborative behavior to reach a common global goal in a partially observable environment. The recovery strategy is based on a plan failure analysis where two main results are inferred: the agent diagnosis (which explains the action failure in terms of faults in agent functionalities) and the set of missing goals (i.e. services that the faulty agent can no longer provide to the other agents). Relying on the agent diagnosis, a faulty agent activates a local re-planner to restore the healthy status in its functionalities and achieve the set of missing goals.