Effectively integrating intelligent agents within autonomous systems demands a nuanced challenge. These agents, empowered by deep learning algorithms, must cooperate seamlessly to achieve targeted goals in dynamic and often unpredictable environments. Decentralized control architectures provide a framework for agent management, while robust communi