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An Algorithmic Approach to Emergence (2205.12997v2)

Published 19 May 2022 in cond-mat.stat-mech, cs.AI, math.DS, physics.data-an, and quant-ph

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.

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