An algorithmic approach to emergence
Additional information
Authors
Bédard C. A.,
Bergeron G.
Type
Journal Article
Year
2022
Language
English
Abstract
We suggest a quantitative and objective notion of emergence. Our proposal uses algorithmic information theory as a basis for an objective framework in which a bit string encodes observational data. A plurality of drops in the Kolmogorov structure function of such a string is seen as the hallmark of emergence. Our definition offers some theoretical results, in addition to extending the notions of coarse-graining and boundary conditions. Finally, we confront our proposal with applications to dynamical systems and thermodynamics.
Keywords
Emergence, Kolmogorov’s structure function, Algorithmic information theory
Journal
Entropy
Volume
24
Number ( Month )
7
Pages (or article number)
985
Diffusion
License
CC BY
Visibility
Public
Status open access
Gold
