The supervision of dynamic systems is essential in industrial applications. The decentralization of such systems makes their supervision more difficult. In this article, we tackle the supervision problem by using a temporal scenario recognition approach. The supervision is performed by a society of agents, where an agent is considered as a watching process that is responsible for a subset of possible scenarios of the functioning of the system. The cooperation among agents is based on interaction protocols as well as dependence networks