多智能体系统：当一个 AI 智能体不足够时

Multi-agent systems demonstrate significant advantages in handling complex tasks, particularly when a single AI agent is insufficient. These systems leverage the collaboration of multiple agents to achieve more efficient decision-making and problem-solving. Different agents can focus on specific tasks and coordinate with each other, enhancing the overall flexibility and adaptability of the system. The applications of multi-agent systems are increasingly widespread in areas such as robotics, intelligent transportation, and financial markets, showcasing their immense potential and value. As technology continues to advance, these systems are expected to play a crucial role in even more fields.