Editorial:
Special Issue on Control and Applications of Multi-Agent Systems
Koichi Osuka*1, Yusuke Tsunoda*2, Wataru Imahayashi*3, and Takumi Aotani*4
*1Professor, Department of Mechanical Engineering, Osaka University
2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
*2Assistant Professor, Department of Mechanical Engineering, Graduate School of Engineering, University of Hyogo
2167 Shosha, Himeji, Hyogo 671-2201, Japan
*3Assistant Professor, Department of Mechanical Engineering, Nihon University
1 Nakagawara, Tokusada, Tamura, Koriyama, Fukushima 963-8642, Japan
*4Assistant Professor, Department of Mechanical Engineering Informatics, Meiji University
1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan
“Multi-agent systems (MAS)” have been extensively studied across various fields, including robotics, economics, biology, and computer science. A distinctive feature of these systems is the ability of multiple agents, each with different characteristics, to perform system-wide tasks through local bottom-up interactions. Furthermore, design and control methods for system networks based on graph theory are being developed. Recent applications of these methods include autonomous driving technology, smart grids, and understanding social systems.
This special issue aims to deepen the understanding of MAS, focusing on their control and applications. It features 16 papers, including one review paper. The accepted papers cover a wide range of topics, including reinforcement learning, autonomous mobility systems, and machine learning, presenting the latest research findings on MAS.
These studies provide valuable insights into various aspects and potential applications of MAS. We hope that this issue will be beneficial to our readers and contribute to the advancement of future research.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.