Introduction to the special section on learning and security for multi-agent systems

被引:0
|
作者
Zhu, Quanyan [1 ]
Ishii, Hideak [2 ]
机构
[1] New York Univ, 370 Jay St, Brooklyn, NY 11201 USA
[2] Tokyo Inst Technol, Midori Ku, 4259-J2-54,Nagatsuta Cho, Yokohama, Kanagawa 2268502, Japan
基金
美国国家科学基金会;
关键词
Multi-agent systems; Security and resilience; Machine learning; Reinforcement learning; Mechanism design; Control system security; INTERNET; GAMES;
D O I
10.1016/j.arcontrol.2022.03.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This special section features six articles that provide an overview of the emerging research topics at the intersection learning, security, and multi-agent systems. Recent years have witnessed a surge in the number of works at their intersections, and they have appeared in system and control communities as well as many other communities in artificial intelligence, cyber-physical systems, and economics. The articles in this special section give accessible and comprehensive tutorials and surveys for a broad systems and control audience, covering topics including adversarial machine learning, multi-agent reinforcement learning, cyber resilience, resilient control systems, and game design. It is hopeful that this special section will spawn future interest and cross-disciplinary collaborations in this emerging transdisciplinary research area.
引用
收藏
页码:249 / 251
页数:3
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