We build models for complex systems according to the time series of the observable behaviors of the system in an automatic way. By using techniques like Graph (Neural) Network, Causal Inference, Information Theory, and Deep Learning etc., to learn the dynamics, infer the un-observable network structures and node states, and identify the phenomenon of emergence.
Automated Modelling of Complex Systems
Research Group
bnusss.github.ioAddress
School of Systems ScienceBeijing Normal University, 100875
Beijing, China