The text discusses the concept of swarm behavior and its application in multi-agent systems. Swarm behavior, observed in nature in phenomena such as bird flocking and fish schooling, showcases the collective intelligence that emerges from local interactions among individuals. This behavior has inspired the development of multi-agent systems, which utilize distributed cooperative control to accomplish complex tasks through simple local rules. The chapter explores various challenges in multi-agent systems, including flocking, swarming, containment control, consensus, and formation control. It also introduces key technologies for multi-agent distributed cooperative control systems (MADCCS), such as swarm control algorithms, communication technologies, task allocation, and obstacle avoidance. The text underscores the significance of distributed cooperative control in achieving scalable and efficient solutions for large-scale multi-agent systems, with potential applications in fields like robotics, communication networks, and defense.