A Survey of Multi-AI Agent Collaboration: Theories, Technologies and Applications

As an important application of large language model(LLM), artificial intelligence agent(AI Agent) have the ability to autonomously perceive, understand, plan, memory, act, and use tools. It can automate complex tasks and effectively empower various business scenarios. Single AI Agent flexible and diverse deployment, multi-AI Agent innovative interaction and collaboration, multi-AI Agent collaboration improves the autonomy of the intelligent system by integrating the capabilities of single AI Agent. This paper provides an overview of multi-AI Agent from four aspects. Firstly, the core capabilities of AI Agent were outlined, and multi-AI Agent collaboration was introduced and its characteristics were analyzed. Secondly, the theoretical basis, key technologies, and scenario applications of multi-AI Agent collaboration were discussed, and the mechanism, architecture design, communication protocol, reinforcement learning, security and trustworthiness of multi-AI Agent collaboration were deeply studied. Thirdly, the advantages and disadvantages of multi-AI Agent collaboration in technology, application, and security directions were summarized, and frontier research and innovation directions were provided. Finally, a summary and outlook were made on the high-quality development of multi-AI Agent collaboration.

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Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1145/3745238.3745531
Citations
2
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
4.96
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article

A Survey of Multi-AI Agent Collaboration: Theories, Technologies and Applications

Xiaofei Dong, Xueqiang Zhang, Feng Cao, Dan Zhang et al.
2 citations
Multi-Agent Systems and Negotiation
4.96
article

A Survey of Multi-AI Agent Collaboration: Theories, Technologies and Applications

Xiaofei Dong, Xueqiang Zhang, Feng Cao, Dan Zhang, Yiru Wang
article en
2 citations

Abstract

As an important application of large language model(LLM), artificial intelligence agent(AI Agent) have the ability to autonomously perceive, understand, plan, memory, act, and use tools. It can automate complex tasks and effectively empower various business scenarios. Single AI Agent flexible and diverse deployment, multi-AI Agent innovative interaction and collaboration, multi-AI Agent collaboration improves the autonomy of the intelligent system by integrating the capabilities of single AI Agent. This paper provides an overview of multi-AI Agent from four aspects. Firstly, the core capabilities of AI Agent were outlined, and multi-AI Agent collaboration was introduced and its characteristics were analyzed. Secondly, the theoretical basis, key technologies, and scenario applications of multi-AI Agent collaboration were discussed, and the mechanism, architecture design, communication protocol, reinforcement learning, security and trustworthiness of multi-AI Agent collaboration were deeply studied. Thirdly, the advantages and disadvantages of multi-AI Agent collaboration in technology, application, and security directions were summarized, and frontier research and innovation directions were provided. Finally, a summary and outlook were made on the high-quality development of multi-AI Agent collaboration.

China Academy of Information and Communications Technology (CN)
Partnerships for the goals
Openalex Percentile: Top 5%
Multi-Agent Systems and Negotiation
4.96
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A Survey of Multi-AI Agent Collaboration: Theories, Technologies and Applications — Xiaofei Dong, Xueqiang Zhang, et al. · (2025) | TGRS Research Map | TGRS