  Evolution of agents' dynamics of multiagent systems under consensus protocol
in the face of jamming attacks is discussed, where centralized parties are able
to influence the control signals of the agents. In this paper we focus on a
game-theoretical approach of multiagent systems where the players have
incomplete information on their opponents' strength. We consider repeated games
with both simultaneous and sequential player actions where players update their
beliefs of each other over time. The effect of the players' optimal strategies
according to Bayesian Nash Equilibrium and Perfect Bayesian Equilibrium on
agents' consensus is examined. It is shown that an attacker with incomplete
knowledge may fail to prevent consensus despite having sufficient resources to
do so.
