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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19601168 |
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Table of Contents:
- <p>This paper introduces a theoretical framework at the intersection of <strong>information theory, computational linguistics, and metaphysics</strong>, proposing that human language can be reduced to foundational numerical structures and evaluated for intrinsic “Truth” through <strong>mathematical stability and entropy dynamics</strong>.</p> <p>At its core, the framework defines a <strong>Semantic Physics</strong>, in which meaning is not arbitrary but encoded within numerical and structural relationships. Language is treated as a computable system where:</p> <ul> <li><strong>Truth (Coherence)</strong> manifests as low-entropy, stable, and resonant mathematical structures</li> <li><strong>Falsehood or Trauma (Dissonance)</strong> produces high-entropy, unstable, and non-resolving patterns</li> </ul> <p>Using <strong>binary encoding and parity-check analogues</strong>, the model introduces a <em>Truth Parity mechanism</em> that evaluates linguistic integrity in a manner analogous to data verification in digital systems.</p> <p>A central case study—the Hebrew word <em>EMET</em> (Truth)—demonstrates how semantic coherence can emerge as a mathematically stable structure (a perfect square), while minimal perturbations result in rapid entropy increase, illustrating the fragility and precision of coherent meaning.</p> <p>The framework further scales through a <strong>Quantum Narrative Assessment model</strong>, in which entire narratives are treated as systems existing in superposition between coherence and entropy states. Through continuous structural verification, narratives collapse toward stability (truth) or instability (falsehood), enabling a potential pathway for <strong>computable semantic validation at scale</strong>.</p> <p>Positioned within the broader architecture of the <strong>Virtual Ego Framework (VEF)</strong>, this work connects:</p> <ul> <li>linguistic structure</li> <li>cognitive processing</li> <li>narrative dynamics</li> <li>and systemic coherence</li> </ul> <p>into a unified, exploratory model of <strong>meaning-to-mathematics translation</strong>.</p> <p>This manuscript is presented as an <strong>interdisciplinary and conceptual framework</strong>, intended to stimulate further research into the mathematical properties of language, truth evaluation, and the computability of meaning.</p> <h3><span><strong>Keywords</strong></span></h3> <p>Information Theory<br>Computational Linguistics<br>Semantic Analysis<br>Entropy<br>Coherence<br>Gematria<br>Language Modeling<br>Quantum Narrative<br>Systems Theory<br>Cybernetics<br>Consciousness Studies<br>Nonlinear Dynamics</p> <h3><span><strong>License</strong></span></h3> <p>Creative Commons Attribution 4.0 International (CC BY 4.0)</p> <h3><span><strong>Notes</strong></span></h3> <p>This work applies computational and systems-theoretic metaphors to language and meaning. Terms such as “parity,” “entropy,” and “superposition” are used as analytical constructs to model semantic structure and narrative dynamics. The framework is exploratory and does not claim established empirical validation, but proposes a pathway toward computationally testable models of meaning and truth.</p> <p>#InformationTheory #ComputationalLinguistics #Semantics #Language #Entropy #Coherence #AI #SystemsTheory #ComplexSystems #Consciousness #Interdisciplinary #OpenScience</p>