Bédard, Charles Alexandre Bergeron, Geoffroy 2022 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. application/pdf https://localhost:5000/ark:/12658/srd1322462 https://susi.usi.ch/global/documents/322462 https://susi.usi.ch/documents/322462/files/Bedard_2022_MDPI_entropy.pdf eng info:eu-repo/semantics/altIdentifier/doi/10.3390/e24070985 info:eu-repo/semantics/altIdentifier/ark/12658/srd1322462 info:eu-repo/semantics/openAccess CC BY Entropy . - 2022, vol. 24, no. 7, p. 985 Emergence Kolmogorov’s structure function Algorithmic information theory info:eu-repo/classification/udc/004 An algorithmic approach to emergence http://purl.org/coar/resource_type/c_6501