Exploiting agent diagnosis for plan repair in MAS
Roberto Micalizio, Pietro Torasso · 2009
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.