This paper explores existing works of multi-agent systems and identifies challenges that remain inadequately addressed. By leveraging the diverse capabilities and roles of individual agents within a multi-agent system, these systems can tackle complex tasks through collaboration. We discuss optimizing task allocation, fostering robust reasoning through iterative debates, managing complex and layered context information, and enhancing memory management to support the intricate interactions within multi-agent systems. We also explore the potential application of multi-agent systems in blockchain systems to shed light on their future development and application in real-world distributed systems.

翻译：本文探讨了多智能体系统的现有研究工作，并指出尚未充分解决的挑战。通过利用多智能体系统中各智能体的多样化能力和角色，这些系统能够通过协作处理复杂任务。我们讨论了优化任务分配、通过迭代辩论促进稳健推理、管理复杂且分层的上下文信息，以及增强记忆管理以支持多智能体系统内复杂交互的方法。此外，我们还探索了多智能体系统在区块链系统中的潜在应用，以揭示其在真实分布式系统中的未来发展与应用前景。