An algorithmic approach to emergence
Published in:
- Entropy . - 2022, vol. 24, no. 7, p. 985
English
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.
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Computer science and technology
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License
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CC BY
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Open access status
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gold
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Persistent URL
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https://n2t.net/ark:/12658/srd1322462
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