A taxonomy places statistical, algorithmic, and dynamical complexity measures along three axes and frames machine-learning latent spaces as practical approximations of uncomputable complexity ideals.
Randomness, Structure, and Causality
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Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era
A taxonomy places statistical, algorithmic, and dynamical complexity measures along three axes and frames machine-learning latent spaces as practical approximations of uncomputable complexity ideals.