51 citations · 97 across the 8 of their papers we have counts for
9 papers
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…
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…
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…
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…
Emergence and Causality in Complex Systems: A Survey on Causal Emergence and Related Quantitative Studies
Bing Yuan, Zhang Jiang, Aobo Lyu +6
Emergence and causality are two fundamental concepts for understanding complex systems. They are interconnected. On one hand, emergence refers to the phenomenon where macroscopic p…
Finding emergence in data by maximizing effective information
Mingzhe Yang, Zhipeng Wang, Kaiwei Liu +3
Quantifying emergence and modeling emergent dynamics in a data-driven manner for complex dynamical systems is challenging due to the lack of direct observations at the micro-level.…
Expectation-Maximizing Network Reconstruction and MostApplicable Network Types Based on Binary Time Series Data
Kaiwei Liu, Xing Lv, Fei Gao +1
Based on the binary time series data of social infection dynamics, we propose a general framework to reconstruct 2-simplex complexes with two-body and three-body interactions by co…
The E-Bayesian Estimation and its E-MSE of Lomax distribution under different loss functions
Kaiwei Liu, Yuxuan Zhang
This paper studies the E-Bayesian (expectation of the Bayesian estimation) estimation of the parameter of Lomax distribution based on different loss functions. Under different loss…
Neural Information Squeezer for Causal Emergence
Jiang Zhang, Kaiwei Liu
The classic studies of causal emergence have revealed that in some Markovian dynamical systems, far stronger causal connections can be found on the higher-level descriptions than t…