Exploiting agent diagnosis for plan repair in MAS

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.