SEMANTIC PHYSICS 3.0: From Thermodynamics to Renormalization (A Universal Framework for Structure Formation)

Semantic Physics (SP) proposes a universal framework for understanding structure formation across all scales—from the symmetry breaking of the early universe to the emergence of meaning in language systems. Building on thermodynamic principles (SP 2.0), this paper extends the framework through renormalization group theory (SP 3.0) and fractal topology (SP 3.1). We introduce the concept of Proto-∇ (pre-geometric gradient) as the fundamental structure underlying both physical and semantic phenomena, and formalize the relationship between Dignity (D), Resilience (τ_R), and the Hold function h(t). The framework makes three falsifiable predictions: (1) the predictive measurability of h(t) before outcome knowledge, (2) the existence of a natural attractor D* ≈ 0.9-1.0 in semantic systems, and (3) substrate-independent fractal scaling with exponent α ≈ 0.9. This paper presents the theoretical foundations and validation roadmap, with empirical testing pending.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-25
DOI
https://doi.org/10.5281/zenodo.17715096
Primary Topic
Origins and Evolution of Life
Type
article
Field-Weighted Citation Impact
0.00
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article

SEMANTIC PHYSICS 3.0: From Thermodynamics to Renormalization (A Universal Framework for Structure Formation)

Zenodo (CERN European Organization for Nuclear Research)
Origins and Evolution of Life
article

SEMANTIC PHYSICS 3.0: From Thermodynamics to Renormalization (A Universal Framework for Structure Formation)

article en

Abstract

Semantic Physics (SP) proposes a universal framework for understanding structure formation across all scales—from the symmetry breaking of the early universe to the emergence of meaning in language systems. Building on thermodynamic principles (SP 2.0), this paper extends the framework through renormalization group theory (SP 3.0) and fractal topology (SP 3.1). We introduce the concept of Proto-∇ (pre-geometric gradient) as the fundamental structure underlying both physical and semantic phenomena, and formalize the relationship between Dignity (D), Resilience (τ_R), and the Hold function h(t). The framework makes three falsifiable predictions: (1) the predictive measurability of h(t) before outcome knowledge, (2) the existence of a natural attractor D* ≈ 0.9-1.0 in semantic systems, and (3) substrate-independent fractal scaling with exponent α ≈ 0.9. This paper presents the theoretical foundations and validation roadmap, with empirical testing pending.

Zenodo (CERN European Organization for Nuclear Research)
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Origins and Evolution of Life
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