Law of Minimal Ontological Load: Mathematical Formalization and Empirical Validation - English Version
Year: 2025
Type: other
Abstract: Mathematical formalization and empirical validation of the Law of Minimal Ontological Load (MOL). This document presents the rigorous mathematical framework of the theory, including the core optimization problem (E* = arg min O(E)), quantitative metrics of ontological load O(ℰ), and the dynamics of the Φ-operator. Provides results of experimental validation across biology (T4-lysozyme), physics (Chladni figures), and sociodynamics, demonstrating a strong negative correlation (r ≈ -0.76) between system stability and minimization of O(ℰ). Outperforms state-of-the-art AI in protein stability prediction. Project RepositoryFull documentation, source code, and additional materials: https://github.com/Singular-MOL/mol-foundation ContactThe MOL Foundation: [email protected] --- COMPLETE MOL FRAMEWORK This work is part of the comprehensive research on the Law of Minimal Ontological Load. The complete system includes: • Philosophical Foundations (DOI: 10.5281/zenodo.17454906)• Mathematical Formalization (this document)• Periodic Table of Meta-Principles (DOI: 10.5281/zenodo.17422129)• Core Whitepaper (DOI: 10.5281/zenodo.17445023)
Author: The MOL Foundation
Language: English
Topic: Complex Systems and Dynamics
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7101747830
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