Abstract
The paper addresses the problem of recovering the execution of a multi-agent plan when the occurrence of unexpected events (e.g. faults) may cause the failure of some actions. In our scenario actions are executed concurrently by a group of agents organized in teams and each agent performs a local control loop on the progress of the sub-plan it is responsible for. When an agent detects an action failure, the agent itself tries to repair (if possible) its own sub-plan and if this local recovery fails, a more powerful recovery strategy at team level is invoked. Such a strategy is based on the cooperation of agents within the same team: the agent in trouble asks another teammate, properly selected, to cooperate for recovering from a particular action failure. The cooperation is aimed at achieving the goal assigned to the agents’ team despite the action failure and to this end the agents exchange sub-goals and synthesize new plans.
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Micalizio, R., Torasso, P. (2007). Team Cooperation for Plan Recovery in Multi-agent Systems. In: Petta, P., Müller, J.P., Klusch, M., Georgeff, M. (eds) Multiagent System Technologies. MATES 2007. Lecture Notes in Computer Science(), vol 4687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74949-3_15
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DOI: https://doi.org/10.1007/978-3-540-74949-3_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74948-6
Online ISBN: 978-3-540-74949-3
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