16 citations · 24 across the 7 of their papers we have counts for
7 papers
Save 2050: A Planetary-Scale Collective Prediction System for the Singularity Crisis
Jiang Zhang, Bing Yuan, Qian Zhang
The Anthropocene mode of development is driving civilization toward a "singularity crisis": artificial intelligence (AI) is rapidly approaching general intelligence (AGI) with esca…
Self-Reference in Large Language Models: The Introspection Threshold for Recursive Self-Improvement
Jiang Zhang, Bing Yuan, Qian Zhang
The pursuit of self-evolving AI raises a critical question: when is autonomous self-improvement sustainable rather than degenerative? Drawing an analogy to von Neumann's complexity…
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…
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…
Dynamical Reversibility and A New Theory of Causal Emergence based on SVD
Jiang Zhang, Ruyi Tao, Keng Hou Leong +2
The theory of causal emergence (CE) with effective information (EI) posits that complex systems can exhibit CE, where macro-dynamics show stronger causal effects than micro-dynamic…
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.…