Computational analysis reveals that observational scale shapes predictive closure across non-equilibrium systems, suggesting that apparent memory depends directly on chosen representations.
This deposit documents an ongoing theoretical and computational study of scale-dependent predictive dynamics, apparent memory, and effective Markovianity across molecular, stochastic, nonlinear, mechanical, and quantum systems. The current results provide convergent evidence consistent with a strong role of representation and observational scale in predictive closure. However, broader experimental and data-validation remains in progress, and the present findings are not presented as definitive or universally established. This release reports the current validated results and framework; further experiments, analyses, and reproducibility resources are expected in subsequent versions.
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Adriel Flores Mendoza (2026) studied this question.
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