TY - JOUR
T1 - Introduction to the special section on learning and security for multi-agent systems
AU - Zhu, Quanyan
AU - Ishii, Hideaki
N1 - Funding Information:
This work is partially supported by grants SES-1541164, ECCS-1847056, CNS-2027884, and BCS-2122060 from National Science Foundation (NSF), USA, DOE-NE, USA grant 20-19829, and grant W911NF-19-1-0041 from Army Research Office (ARO), USA.
Funding Information:
This work is partially supported by grants SES-1541164 , ECCS-1847056 , CNS-2027884 , and BCS-2122060 from National Science Foundation (NSF), USA , DOE-NE, USA grant 20-19829 , and grant W911NF-19-1-0041 from Army Research Office (ARO), USA .
Publisher Copyright:
© 2022
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
KW - Control system security
KW - Machine learning
KW - Mechanism design
KW - Multi-agent systems
KW - Reinforcement learning
KW - Security and resilience
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U2 - 10.1016/j.arcontrol.2022.03.002
DO - 10.1016/j.arcontrol.2022.03.002
M3 - Article
AN - SCOPUS:85126887325
VL - 53
SP - 249
EP - 251
JO - Annual Reviews in Control
JF - Annual Reviews in Control
SN - 1367-5788
ER -