Multi-Agent Systems:From Classical Paradigms to Large Foundation Model-Enabled FuturesOA
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
Key Laboratory of Smart Manufacturing in Energy Chemical Process,Ministry of Education,East China University of Science and Technology,Shanghai 200237,ChinaKey Laboratory of Smart Manufacturing in Energy Chemical Process,Ministry of Education,East China University of Science and Technology,Shanghai 200237,ChinaSchool of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,ChinaKey Laboratory of Smart Manufacturing in Energy Chemical Process,Ministry of Education,East China University of Science and Technology,Shanghai 200237,ChinaSchool of Electrical Engineering and Automation,Nantong University,Nantong 226019,ChinaResearch Institute of Intelligent Complex Systems,Fudan University,Shanghai 200433,ChinaSchool of Engineering,Swinburne University of Technology,Hawthorn VIC 3122,AustraliaKey Laboratory of Smart Manufacturing in Energy Chemical Process,Ministry of Education,East China University of Science and Technology,Shanghai 200237,China
Agentic artificial intelligence(AI)large foundation modelmulti-agent system
Agentic artificial intelligence(AI)large foundation modelmulti-agent system
《自动化学报（英文版）》 2026 (5)
1007-1023,17
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).
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