Mathematics of multi-agent learning systems at the interface of game theory and artificial intelligence  

作　　者：Long WANG Feng FU Xingru CHEN 

机构地区：[1]Center for Systems and Control,College of Engineering,Peking University,Beijing 100871,China [2]Center for Multi-Agent Research,Institute for Artificial Intelligence,Peking University,Beijing 100871,China [3]Department of Mathematics,Dartmouth College,Hanover NH 03755,USA [4]Department of Biomedical Data Science,Geisel School of Medicine at Dartmouth,Lebanon NH 03756,USA [5]School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《Science China(Information Sciences)》2024年第6期441-443,共3页中国科学（信息科学）（英文版）

基　　金：supported by National Natural Science Foundation of China(Grant No.62036002);Beijing Natural Science Foundation(Grant No.1244045)。

摘　　要：Evolutionary game theory(EGT)and artificial intelligence(AI)are two fields that,at first glance,might seem distinct,but they have notable connections and intersections.The former focuses on the evolution of behaviors(or strategies)in a population,where individuals interact with others and update their strategies based on imitation(or social learning).

关 键 词：STRATEGIES THEORY AGENT 

分 类 号：O225[理学—运筹学与控制论] TP18[理学—数学] O1[自动化与计算机技术—控制理论与控制工程]