4 papers
Predicting Company Growth using Scaling Theory informed Machine Learning
Ruyi Tao, Veronica R. Cappelli, Kaiwei Liu +4
Predicting company growth is a critical yet challenging task because observed dynamics blend an underlying structural growth trend with volatile fluctuations. Here, we propose a Sc…
SVD-based Causal Emergence for Gaussian Iterative Systems
Kaiwei Liu, Linli Pan, Zhipeng Wang +3
Causal emergence (CE) based on effective information (EI) demonstrates that macro-states can exhibit stronger causal effects than micro-states in dynamics. However, the identificat…
Causal Emergence of Consciousness through Learned Multiscale Neural Dynamics in Mice
Zhipeng Wang, Yingqi Rong, Kaiwei Liu +3
Consciousness spans macroscopic experience and microscopic neuronal activity, yet linking these scales remains challenging. Prevailing theories, such as Integrated Information Theo…
An Exact Theory of Causal Emergence for Linear Stochastic Iteration Systems
Kaiwei Liu, Bing Yuan, Jiang Zhang
After coarse-graining a complex system, the dynamics of its macro-state may exhibit more pronounced causal effects than those of its micro-state. This phenomenon, known as causal e…