This paper explores multi-agent systems and identify challenges that remain inadequately addressed. By leveraging the diverse capabilities and roles of individual agents, multi-agent systems can tackle complex tasks through agent 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 potential applications of multi-agent systems in blockchain systems to shed light on their future development and application in real-world distributed systems.

翻译：本文探讨多智能体系统，并识别当前尚未得到充分解决的挑战。通过利用个体智能体的多样化能力与角色，多智能体系统能够通过智能体协作处理复杂任务。我们讨论了优化任务分配、通过迭代辩论促进鲁棒推理、管理复杂分层的情境信息，以及增强记忆管理以支持多智能体系统内复杂交互等问题。同时，我们探索了多智能体系统在区块链系统中的潜在应用，以揭示其在现实世界分布式系统中的未来发展与应用前景。