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