Artificial Intelligence (AI) is one of the most influential technologies today, with wide applications in various fields such as autonomous driving and intelligent surveillance systems. As AI technology continues to advance, there is great anticipation for its potential and creativity in applications. Multi-agent cooperation, also known as collective intelligence or collaborative intelligence, has become a significant focus for future development. Through collaboration, the capabilities of multiple agents or devices, such as observation and management, can be aggregated to achieve the common goal of completing complex tasks. However, multi-agent cooperation is not achieved in isolation but relies on communication networks. To study the relationship between communication networks and AI, this discussion will delve into the following two aspects: 1) The impact of communication networks on multi-agent cooperation and corresponding strategies; 2) How AI can be utilized to enhance the performance of communication-related applications, such as video analysis for traffic flow.
Dr. Tingting Yuan obtained her PhD degree in Computer Science from Beijing University of Posts and Telecommunications (BUPT) in 2018. From 2018 to 2020, she worked as a postdoctoral researcher at the French Institute for Research in Computer Science and Automation (INRIA), France. From 2020 to 2023, she worked as a senior researcher at the Institute of Computer Science, University of G?ttingen, Germany. In 2021, she was awarded the prestigious "Humboldt Research Fellowship for Postdoctoral Researchers" funded by the Humboldt Foundation in Germany. In 2023, she was appointed as a Junior Professor (W1) at the University of G?ttingen. Her research interests include communication-based collaborative intelligence, reinforcement learning algorithm research and applications, next-generation internet, edge intelligence, and privacy protection.