Exploring Quantum Mechanics and Gravity Through Explore-Exploit Thermodynamic Optimisation

We propose that the explore–exploit (EE) trade-off, a concept foundational in cognitivescience, decision theory, and artificial intelligence, is in fact the governing principle under-lying all physical laws. In contrast to conventional views treating EE dynamics as heuristic,we derive them here as a thermodynamic necessity rooted in the Second Law of Thermo-dynamics. We show that systems evolve by optimizing entropy-increasing exploration andenergy-minimizing exploitation, expressed precisely through Kullback–Leibler divergence,Fisher information, and free energy functionals. This thermodynamic EE framework uni-fies quantum mechanics, general relativity, and particle physics under one principle. Thewave-like nature of quantum particles, the curvature of spacetime, and the hierarchy ofparticle masses all emerge as scale-dependent outcomes of this fundamental trade-off. Ourpredictions include the Higgs boson mass (127 GeV), neutrino mass ratios, the exclusionof a fourth fermion generation, quantisation of charge and spin. We suggest that EE dy-namics—once restricted to adaptive agents—are universal, emergent from entropy–energyoptimization and applicable to all physical systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-25
DOI
https://doi.org/10.5281/zenodo.15513390
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
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article

Exploring Quantum Mechanics and Gravity Through Explore-Exploit Thermodynamic Optimisation

Zenodo (CERN European Organization for Nuclear Research)
Water Systems and Optimization
article

Exploring Quantum Mechanics and Gravity Through Explore-Exploit Thermodynamic Optimisation

article en

Abstract

We propose that the explore–exploit (EE) trade-off, a concept foundational in cognitivescience, decision theory, and artificial intelligence, is in fact the governing principle under-lying all physical laws. In contrast to conventional views treating EE dynamics as heuristic,we derive them here as a thermodynamic necessity rooted in the Second Law of Thermo-dynamics. We show that systems evolve by optimizing entropy-increasing exploration andenergy-minimizing exploitation, expressed precisely through Kullback–Leibler divergence,Fisher information, and free energy functionals. This thermodynamic EE framework uni-fies quantum mechanics, general relativity, and particle physics under one principle. Thewave-like nature of quantum particles, the curvature of spacetime, and the hierarchy ofparticle masses all emerge as scale-dependent outcomes of this fundamental trade-off. Ourpredictions include the Higgs boson mass (127 GeV), neutrino mass ratios, the exclusionof a fourth fermion generation, quantisation of charge and spin. We suggest that EE dy-namics—once restricted to adaptive agents—are universal, emergent from entropy–energyoptimization and applicable to all physical systems.

Zenodo (CERN European Organization for Nuclear Research)
University of Bristol (GB)
Peace, Justice and strong institutions
Openalex Percentile: Top 53%
Water Systems and Optimization
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Exploring Quantum Mechanics and Gravity Through Explore-Exploit Thermodynamic Optimisation · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS