With the advancement of artificial intelligence technology, multi-agent systems are increasingly capable of handling complex tasks across various fields. These systems are composed of multiple specialized agents that collaborate to leverage their individual strengths and achieve common goals. Such collaboration excels in areas like complex reasoning, programming, drug discovery, and safety assurance, as the structured interactions between agents not only enhance problem-solving efficiency but also allow for mutual correction, thereby improving each agent's output. Research indicates that this collaborative approach often outperforms in tasks that require rigorous reasoning or fact verification.
