Consensus and cluster forming of multiagent systems in the face of jamming attacks along with reactive recovery actions by a defender are discussed. The attacker is capable to disable some of the edges of the network with the objective to divide the agents into a smaller size of clusters while, in response, the defender recovers some of the edges by increasing the transmission power. We consider repeated games where the resulting optimal strategies for the two players are derived in a rolling horizon fashion. The attacker and the defender possess different computational abilities to calculate their strategies. This aspect is represented by the non-uniform values of the horizon lengths and the game periods. Theoretical and simulation based results demonstrate the effects of the horizon lengths and the game periods on the agents' states.

翻译：本文探讨了多智能体系统在面临阻塞攻击及防御者采取反应性恢复措施时的共识与聚类形成问题。攻击者能够使网络中的部分边失效，旨在将智能体分割成更小规模的集群；作为应对，防御者通过增加传输功率来恢复部分边。我们考虑重复博弈场景，其中博弈双方的最优策略以滚动时域方式推导得出。攻击者与防御者具有不同的计算能力来计算自身策略，这一特性通过时域长度与博弈周期的非均匀值来体现。理论分析与仿真结果揭示了时域长度与博弈周期对智能体状态的影响。