The Journal of Automation and Intelligence (JAI) is a peer-reviewed, open-access journal that serves as a platform for researchers and practitioners from academia and industry to exchange ideas and present new developments across multiple disciplines relevant to automation and artificial intelligence, with particular attention to machine learning. The journal welcomes original high-quality contributions associated with the theory, design, and applications of control, optimization, and machine learning. It aims to address challenges posed by the complexity of modern systems, the abundance of real-time data, and the scale of agent networks. JAI is owned by Chongqing University and published by KeAi Publishing.
Editorial Board
Editor-in-Chief:
Professor Yongduan Song – Chongqing University, Chongqing, China