Hyper-Information Ontology (HIO) – Version 1.0: A Unified Physical Framework Based on Information Complexity and Expressional Capacity
Choiyeonsik
Abstract
This work introduces Hyper-Information Ontology (HIO) as a conceptual framework in which physical reality emerges when infinite latent information is projected into the finite expressional capacity of space-time. We propose the Capacity-Induced Expression Law:[\mathcal{C} > C^* \Rightarrow \text{Probabilistic Expression (Quantum-to-Classical Transition)}][\mathcal{C} \le C^* \Rightarrow \text{Deterministic Expression (Coherent Regime)}] where * **𝓒**: effective expressional complexity* **C***: maximum local expressional capacity Quantum uncertainty is interpreted as the outcome of capacity overflow, while gravitational curvature is understood as a manifestation of entropic information pressure.Under HIO, the same information–expression principle governs physical behavior across all scales—quantum, classical, and cosmological—each representing a different resolution of a single expressional structure. Major changes from Version 1.1 1. **New Section Added:** Introduced **Section 4.3 (Perspective on Probability Weighting)** to deepen the HIO interpretation of quantum probability.2. **Core Insight:** Explicitly declares that probability weights are not derived from external stochasticity but from the **internal informational asymmetry and structural complexity** of the superposed object itself.3. **Methodological Guidance:** This section outlines the necessity to simplify complex external factors (such as heat, gravity, etc.) into a limited number of **'Expressional Burden Categories'** to enhance the mathematical tractability and formalization of the HIO framework. **[Final Conceptual Guidelines for Mathematical Formalization]** To successfully transition the conceptual framework of HIO into a mathematical formalism, HIO explicitly stipulates the following two critical hypotheses. These guidelines establish the final logical basis for integrating external factors and deriving quantum probability. 1. **The Integration of Environmental Informational Minima:** * The effective expressional complexity ($\mathcal{C}$) must include not only the system’s intrinsic entropy but also **all external environmental factors** (such as thermal noise, gravitational fluctuations, etc., representing myriad complex influences). * These external factors must be treated not as individual stochastic variables, but as **Minimal Information Units (MIUs)** that are quantized and added or integrated into $\mathcal{C}$. This implies that the mathematical definition of $\mathcal{C}$ must be expanded to include the informational load of the environment beyond the defined system boundary. 2. **The Principle of Minimal Information Loss for Born Rule Derivation:** * The quantum probabilistic distribution (the Born Rule, $|\psi|^2$) arising from the information overcapacity state ($\mathcal{C} > C^*$) is interpreted not as mere randomness, but as the result of **informational thermodynamic efficiency.** * **Hypothesis:** When faced with $\mathcal{C} > C^*$, the system tends to **rearrange information within the finite capacity ($C^*$) while causing the least amount of information loss.** This **'Principle of Minimal Information Loss'** is the fundamental principle hypothesized to drive the system toward the statistically most stable distribution, $|\psi|^2$. These two hypotheses complete the final logical framework, defining HIO as a **concrete computational problem** rather than just a philosophical interpretation. Version 1.2 Update Summary This release consolidates and formalizes the conceptual foundations developed in Versions 1.0 and 1.1 into a unified, self-contained framework. Key updates in v1.2 include: • A structural and geometric interpretation of the Born Rule, reframing quantum probability as a necessary consequence of finite expressional capacity rather than an axiomatic postulate.• Formal introduction of Effective Expressional Complexity (C\mathcal{C}C) and Expressional Capacity (C∗C^*C∗) as unifying parameters across quantum mechanics, gravity, and black hole physics.• A capacity-induced regime structure linking quantum coherence, probabilistic manifestation, gravitational deformation, and informational saturation within a single informational framework.• Clarification of entanglement as a shared latent informational structure, enabling non-local consistency without superluminal signaling. Version 1.2 represents a structural completion of the HIO framework and establishes a roadmap for future mathematical formalization and experimental falsifiability. Clarification on the Necessity of the Square In HIO, the quadratic form of the Born rule arises not from probabilistic axioms, but from a minimal expressibility condition. A purely linear latent signal remains unobservable until it transcends a minimal expressional threshold. The square operation represents the minimal structural transformation by which latent information acquires sufficient “thickness” to be rendered within observable > HIO v1.3 adds a mathematical constraint layer: > continuous time, reversibility, and information conservation force physical state space to be a Hilbert space, which uniquely admits a quadratic conserved norm. > Therefore the Born rule (P=|\psi|^2) is not a postulate but the only probability measure compatible with continuous unitary dynamics.