Effectively orchestrating intelligent agents within autonomous systems demands a nuanced challenge. These agents, empowered by artificial learning algorithms, must collaborate seamlessly to achieve defined goals in dynamic and often unpredictable environments. Centralized control architectures provide a framework for agent management, while robust