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.
Author supplied keywords
Cite
CITATION STYLE
Bédard, C. A., & Bergeron, G. (2022). An Algorithmic Approach to Emergence. Entropy, 24(7). https://doi.org/10.3390/e24070985
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.