Swarm Intelligence and Collective Behavior Dynamics
This course systematically explores the fundamental principles, mathematical models, and applications of swarm dynamics in both natural and artificial systems. Beginning with collective behaviors in biological groups (such as bird flocks, fish schools, and insect cooperation), the course reveals the dynamical principles behind self-organization and emergent phenomena, extending to human communities, robot swarms, traffic flow, and distributed artificial intelligence.
Through theoretical instruction, numerical simulation, and case studies, students will master core theoretical frameworks of collective behavior (such as the Vicsek model, Boids algorithm, and individual-based modeling approaches), learn how simple rules can drive complex global behaviors, and understand the impact of network topology, noise, and interaction range on system stability. The course will also incorporate cutting-edge research to explore practical applications of swarm dynamics in drone formation control, intelligent traffic optimization, social network analysis, and ecosystem management.
Through theoretical instruction, numerical simulation, and case studies, students will master core theoretical frameworks of collective behavior (such as the Vicsek model, Boids algorithm, and individual-based modeling approaches), learn how simple rules can drive complex global behaviors, and understand the impact of network topology, noise, and interaction range on system stability. The course will also incorporate cutting-edge research to explore practical applications of swarm dynamics in drone formation control, intelligent traffic optimization, social network analysis, and ecosystem management.
讲师
日期
2025年02月18日 至 05月06日
位置
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| 周二 | 08:50 - 12:15 | A3-1-101 | ZOOM 09 | 230 432 7880 | BIMSA |
听众
Advanced Undergraduate
, Graduate
, 博士后
, Researcher
视频公开
不公开
笔记公开
不公开
语言
中文
, 英文
讲师介绍
Dr. Wuyue Yang is currently an Assistant Professor at BIMSA. She received her PhD degree from Tsinghua University in 2022 and was honored as an Outstanding Graduate of Beijing. Her main research directions are artificial intelligence, machine learning theory and applications. She has published papers in internationally renowned academic journals such as "Journal of Computational Physics," "Journal of Chemical Physics," and "Physics of Fluids," with over 1,000 Google citations. She is the PI of a National Natural Science Foundation of China Youth Fund project and has participated as a researcher in National Key R&D Program Special Projects. She serves as a review expert for international journals including "BMC Infectious Diseases" and "AIMS Mathematics." She teaches courses including "Theory and Application of Sparse Identification of Nonlinear Dynamics (SINDy)," "Complex System Dynamics and Control," and "Collective Dynamics of Active Matter."