更改

添加432字节 、 2025年3月15日 (六) 09:24
无编辑摘要
第1行: 第1行:  +
{{#seo:
 +
|keywords=Causal Emergence, Emergence, Causality, Causal Representation Learning, World Models, Complex Systems
 +
|description=This is a comprehensive entry introducing causal emergence theory, including various quantitative methods for characterizing causal emergence, and providing a thorough comparison between causal emergence theory and causal representation learning in artificial intelligence, among other theories.
 +
}}
 
Causal emergence refers to a specific type of [[emergence]] phenomenon in dynamical systems, where stronger [[causal effects]] emerge at the system's macroscopic scale. In particular, for a class of [[Markov dynamical systems]], after appropriate [[coarse-graining]] of the state space, the resulting macroscopic dynamics demonstrate stronger [[causal effects]] than their microscopic counterparts. This is referred to as causal emergence <ref name=":0">Hoel E P, Albantakis L, Tononi G. Quantifying causal emergence shows that macro can beat micro[J]. Proceedings of the National Academy of Sciences, 2013, 110(49): 19790-19795.</ref><ref name=":1">Hoel E P. When the map is better than the territory[J]. Entropy, 2017, 19(5): 188.</ref>. Furthermore, the theory of causal emergence uses measures of causal effects to quantify emergence phenomena in complex systems.
 
Causal emergence refers to a specific type of [[emergence]] phenomenon in dynamical systems, where stronger [[causal effects]] emerge at the system's macroscopic scale. In particular, for a class of [[Markov dynamical systems]], after appropriate [[coarse-graining]] of the state space, the resulting macroscopic dynamics demonstrate stronger [[causal effects]] than their microscopic counterparts. This is referred to as causal emergence <ref name=":0">Hoel E P, Albantakis L, Tononi G. Quantifying causal emergence shows that macro can beat micro[J]. Proceedings of the National Academy of Sciences, 2013, 110(49): 19790-19795.</ref><ref name=":1">Hoel E P. When the map is better than the territory[J]. Entropy, 2017, 19(5): 188.</ref>. Furthermore, the theory of causal emergence uses measures of causal effects to quantify emergence phenomena in complex systems.