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Multi-Agent Systems:From Classical Paradigms to Large Foundation Model-Enabled Futures

Zixiang Wang Mengjia Gong Qiyu Sun Jing Xu Shuai Mao Xin Jin Qing-Long Han Yang Tang

自动化学报（英文版）2026，Vol.13Issue(5)：1007-1023,17.

自动化学报（英文版）2026，Vol.13Issue(5)：1007-1023,17.DOI:10.1109/JAS.2026.126113

Multi-Agent Systems:From Classical Paradigms to Large Foundation Model-Enabled Futures

Zixiang Wang ¹Mengjia Gong ¹Qiyu Sun ²Jing Xu ¹Shuai Mao ³Xin Jin ⁴Qing-Long Han ⁵Yang Tang¹

作者信息

1. Key Laboratory of Smart Manufacturing in Energy Chemical Process,Ministry of Education,East China University of Science and Technology,Shanghai 200237,China
2. School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China
3. School of Electrical Engineering and Automation,Nantong University,Nantong 226019,China
4. Research Institute of Intelligent Complex Systems,Fudan University,Shanghai 200433,China
5. School of Engineering,Swinburne University of Technology,Hawthorn VIC 3122,Australia
折叠

摘要

关键词

Agentic artificial intelligence(AI)/large foundation model/multi-agent system

Key words

Agentic artificial intelligence(AI)/large foundation model/multi-agent system

引用本文复制引用

Zixiang Wang,Mengjia Gong,Qiyu Sun,Jing Xu,Shuai Mao,Xin Jin,Qing-Long Han,Yang Tang..Multi-Agent Systems:From Classical Paradigms to Large Foundation Model-Enabled Futures[J].自动化学报（英文版）,2026,13(5):1007-1023,17.

基金项目

This work was supported in part by the National Natural Science Foundation of China(62233005,U2441245,U25B6002,62503247),Shanghai Municipal Commission of Economy and Informatization(RZ-RGZN-01-25-0951),and Natural Science Foundation of Jiangsu Province(BK20230605). （62233005,U2441245,U25B6002,62503247）

自动化学报（英文版）

ISSN：2329-9266

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