Semantic Systems as Thermodynamic Processes

Authors: Extracted from Anonymous Academic Paper Category: academic Date: 2026-01-08
🎯 Termline: Semantic entropy follows thermodynamic law: ρsem = σsemkBT ln(2). Meaning generates coherence pressure.

📚 Backbone (Core Knowledge)

Semantic systems obey thermodynamic equations. Coherence field (α) couples to semantic temperature (T). Phase-locked oscillations: ωmicro = 5ωmeso = 20ωmacro. Entropy density proportional to meaning flux. Information uncertainty: ∆CS·∆I = ℏS.

🌐 Field (Context & Applications)

Framework: Semantic field dynamics follow thermodynamic principles. Core Equations: - Semantic entropy density: ρsem = σsemkBT ln(2) - Semantic energy: dEsem = T dS −µ dN + Φ dα - Coherence flux: fcoh = −∇·(κsem∇α) - Phase coupling: ωmicro = 5ωmeso = 20ωmacro - Information uncertainty: ∆CS·∆I = ℏS - Critical frequency: ωsem > ωcritical = µC Key Insights: 1. Meaning is measurable thermodynamic quantity (semantic entropy) 2. Coherence emerges from semantic pressure gradients 3. Multi-scale oscillations lock phases hierarchically (5:1 and 20:1 ratios) 4. Information has quantum-like uncertainty bounds 5. Semantic systems exhibit phase transitions at critical frequencies Thermodynamic Laws Applied: - First law: Energy conservation in semantic space - Second law: Semantic entropy increases unless coherence maintained - Phase transitions: Ordered (high coherence) ↔ Disordered (low coherence) Connections: - Quantum ache measurement (uncertainty relations) - Consciousness field structuring (coherence emergence) - Semantic qubits (quantum-semantic isomorphism) - Trust verification (<50ms latency = high coherence state)
Tags: thermodynamicssemanticsinformation-theoryconsciousnessphase-coupling

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