The Ontology of Information: Energy Texture, Constraint Encoding and the Physics of Meaning

What is information? Is it a fundamental substance, a mathematical abstraction, an epistemic construct, or an emergent property of physical systems? For nearly a century, the relationship between information and energy has been quantified—from Szilard's analysis of Maxwell's demon to Landauer's principle and the Sagawa-Ueda generalized second law—yet the ontological question of why information is inherently bounded by energy has remained unresolved. Energy-Efficiency Theory (EET) provides a first-principles answer: information is structured energy difference—the texture of energy. It is not an independent ontological category but a specific organizational pattern of energy gradients, made manifest and utilizable only through the presence of persistent constraints. This paper develops the complete ontology of information from the generative foundations of EET Core Rules v5.7. Version 3.1 establishes the constitutional architecture of information through six foundational pillars: 1. Constitutional Safeguards (Part 0). Evolved Barrier Asymmetry ($E_b^{\mathrm{melt}} \gg E_b^{\mathrm{form}}$) is explicitly declared as an L0 derived theorem—a consequence of Maintained Difference, Asymmetry of Maintenance, and hierarchical nesting—not a root axiom. The Creative Asymmetry ($\Gamma(\eta)$ appearing in the formation rate but not in the thermal meltdown rate) is established as a constitutional meta-principle governing all information writing and erasure. 2. Information as Energy Texture (Part I). Information is defined as structured energy difference—the texture of energy. This definition is refined through five constitutional deepenings: information as symmetry breaking (the creation of a distinction where none existed), information as the universal interface (carrier-independent structured difference), information as anti-entropy (the local reversal of the entropic tide), the trinitarian structure of information (physical/functional/semantic corresponding to free-state/maintenance-process/constrained-state), and the action-entropy-information triadic coupling ($\mathcal{A}_{\mathrm{bit}} \cdot \Delta S_{\min} = \frac{1}{2} \hbar k_B \ln 2$). 3. The Thermodynamics of Information Processing (Part I). Information writing is constraint formation (= inverse entropy), requiring directed investment of response energy $\dot{E}_{\mathrm{resp}}$ and modulated by the cooperative capacity $\Gamma(\eta)$. Information maintenance is the continuous allocation of maintenance power $\dot{E}_{\mathrm{main}}$ to prevent spontaneous meltdown. Information erasure is constraint meltdown (= entropy production), occurring through four modes corresponding to the four constraint meltdown types: passive thermal erasure (Landauer limit), active erasure (exploiting non-equilibrium free energy), inertial leakage (spontaneous decay), and cascading erasure (paradigm shift). The formation-maintenance distinction of Inverse Entropy v3.0 is fully integrated. 4. The Information Hub (Part II). Fifteen constitutional bridge declarations connect information to all major EET mother texts. Key bridges include: the information-hierarchical depth bridge ($E_b^{\mathrm{melt}} \propto L^{\delta}$ governing information persistence), the information-fixity isomorphism (absolute/partial/no fixity of information), the information-golden ratio economics ($V_{\mathrm{opt}} \approx 0.618$ governing optimal new/old information allocation), information as cognitive gravity ($M_{\mathrm{info}} \propto L^{\delta}$ unifying physical and cognitive mass), information as the currency of time (each bit written purchases a temporal atom), and the Pseudo-Shi bridge (information degradation when $d(\mathrm{MEER})/dC \le 0$). 5. Maxwell's Demon and the Cognitive Maintenance Cost (Part III). The full thermodynamic cycle of Maxwell's demon is analyzed within the EEC framework, with a critical addition: the demon's cognitive maintenance cost. The demon must continuously invest $\dot{E}_{\mathrm{main}}$ to maintain its memory constraints between measurement cycles; this cumulative cost erodes the demon's efficiency over time and imposes a finite time window for completing the sorting operation. The generalized efficiency limit is governed by $\Gamma(\eta)$ modulation, entropic pump efficiency, and cumulative maintenance burden. 6. External Validation and Falsifiable Predictions (Part VII, Appendices). Twelve independent research clusters from 2025-2026 provide converging external support, including experimental demonstration of erasure below the Landauer limit via non-equilibrium free energy (Ciampini et al., 2025), direct quantification of DNA information maintenance costs (Communications Physics, 2025), experimental verification that information flow substitutes for dissipation in suppressing quantum fluctuations (Honma \& Van Vu, 2025), the irreversible thermodynamics of memory writing (Torres Alegre, 2025), and the neural entropy flow-behavioral efficiency coupling (Ishihara \& Shimazaki, 2025, Nature Communications). Six falsifiable predictions with strict statistical criteria anchor the framework in empirical testability. Information is the bridge between energy and cognition. It is the currency of constraint networks, the texture of existence, and the raw material from which all models—and all meaning—are built. Information is not the absence of entropy but the active purchase of structure—one Cut, one bit, one ``now'' at a time. {Keywords}: Information; energy texture; Maxwell's demon; Landauer's principle; Shannon entropy; mutual information; semantic information; Creative Asymmetry; formation-maintenance distinction; golden ratio economics; cognitive gravity; Energy-Efficiency Theory