Greater than the parts: A review of the information decomposition approach to causal emergence

Autor:	Mediano, Pedro A. M., Rosas, Fernando E., Luppi, Andrea I., Jensen, Henrik J., Seth, Anil K., Barrett, Adam B., Carhart-Harris, Robin L., Bor, Daniel
Rok vydání:	2021
Předmět:	Quantitative Biology - Neurons and Cognition Nonlinear Sciences - Adaptation and Self-Organizing Systems
Druh dokumentu:	Working Paper
Popis:	Emergence is a profound subject that straddles many scientific disciplines, including the formation of galaxies and how consciousness arises from the collective activity of neurons. Despite the broad interest that exists on this concept, the study of emergence has suffered from a lack of formalisms that could be used to guide discussions and advance theories. Here we summarise, elaborate on, and extend a recent formal theory of causal emergence based on information decomposition, which is quantifiable and amenable to empirical testing. This theory relates emergence with information about a system's temporal evolution that cannot be obtained from the parts of the system separately. This article provides an accessible but rigorous introduction to the framework, discussing the merits of the approach in various scenarios of interest. We also discuss several interpretation issues and potential misunderstandings, while highlighting the distinctive benefits of this formalism. Comment: 8 pages, 2 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2111.06518 Zobrazit plný text záznamu View this record from Arxiv