Publication type: Scientific Report
Authors: Rui A. P. Perdigão
Date: 2019, March 1st
Title: Non-Ergodic Information Physics from Quantum to Biogeophysical Complexity: Unveiling Hidden Predictability Beyond Memory Collapse.
Indexed: Yes (Crossref)
Cite as: Perdigão R.A.P. (2019): Non-Ergodic Information Physics from Quantum to Biogeophysical Complexity: Unveiling Hidden Predictability Beyond Memory Collapse. https://doi.org/10.46337/190301.
Methodological Keywords: Information Physics, Information Theory, Complex Systems, Dynamical Systems, Mathematical Physics, Non-Ergodic, Chaos, Entropy, Emergence, Synergy, Coevolution, Causation.
Applied Keywords: Big Data Analytics, Artificial Intelligence, Machine Learning, Earth System Dynamics, Biogeophysics, Quantum Gravitation, Quantum Emergence, Quantum Information, Quantum Computation, Quantum Complexity.
Traditional statistical and information-theoretic techniques capture only aggregate information, whilst ignoring coevolutionary dynamic entanglement at microphysical, event-scale level. In order to overcome these issues, the non-ergodic theory of information physics formulated in Perdigão (2018) generalized information theory to far-from-equilibrium nonlinear statistical mechanics with event codependence. In the present study this theory is further developed to elicit microphysical coevolution underlying non-ergodic quantum entanglement at the roots of evolutionary complexity from quantum microphysics to classical macrophysics. This brings out a new framework for information retrieval and dynamic model design, unveiling hidden information beyond nonlinear spatiotemporal memory loss and extending the predictability horizons in complex system dynamics. The findings are illustrated to elicit hidden structure and predictability in adaptive quantum networks, nonlinear fluid wave resonators, followed by biogeophysical applications within the coevolutionary earth system dynamics.
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