Entropy (Jul 2022)

An Algorithmic Approach to Emergence

  • Charles Alexandre Bédard,
  • Geoffroy Bergeron

DOI
https://doi.org/10.3390/e24070985
Journal volume & issue
Vol. 24, no. 7
p. 985

Abstract

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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