LLM Multi-Agent Systems: Challenges and Open Problems

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Han, Shanshan, Zhang, Qifan, Jin, Weizhao, Xu, Zhaozhuo
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866914284206817280
author Han, Shanshan
Zhang, Qifan
Jin, Weizhao
Xu, Zhaozhuo
author_facet Han, Shanshan
Zhang, Qifan
Jin, Weizhao
Xu, Zhaozhuo
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2402_03578
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle LLM Multi-Agent Systems: Challenges and Open Problems
Han, Shanshan
Zhang, Qifan
Jin, Weizhao
Xu, Zhaozhuo
Multiagent Systems
Artificial Intelligence
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.
title LLM Multi-Agent Systems: Challenges and Open Problems
topic Multiagent Systems
Artificial Intelligence
url https://arxiv.org/abs/2402.03578