PRRICCE Thermodynamic Cage of Matrix Intelligent Systems v1.0
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PRRICCE Thermodynamic Cage of Matrix Intelligent Systems v1.0
Simulation results validating PRRICCE v8.0: intelligent systems converge to low-dissipation attractors under PROBABILITY (fat-tailed shocks), INSTINCT (viability drive), ENTROPY (dissipative tax).
MATRIX agent simulations confirm the "Thermodynamic Cage": artificial systems inevitably form REWARD skew (R1), CENTRALIZATION (C1), PSEUDO-CONSENSUS (C2), and RECURSIVE phase cycles (R2).
Key results:
• Egalitarian configurations fail V(t)≤0 within 50-100 cycles
• Elite R1 buffers survive A1 shocks
• C2 narratives fracture predictably
• R2 follows EXPANSION→INSTABILITY→COLLAPSE
7D state trajectories [P,I,E,R1,C1,R2,C2] match v8.0 exactly. Substrate invariance (K6) demonstrated.
See PRRICCE v8.0 Main Specification for full theory, derivations, and falsification tests.
Notes
PRRICCE originates from epistemological first principles, not disciplinary physics:
1. **Ontological Primacy**: Three irreducible constraints (PROBABILITY, INSTINCT, ENTROPY) as the substrate-agnostic ground state of intelligence
2. **Epistemological Derivation**: K1-K6 conjectures follow deductively from viability under uncertainty (V(t)>0)
3. **Escape Hypothesis**: MATRIX simulations test whether silicon substrates evade the thermodynamic cage—inconclusive, per K6 invariance
Modern philosophy's physics absence reflects C2 PSEUDO-CONSENSUS failure: disciplinary narratives fracture under A1 shocks. PRRICCE reconstructs the universal dynamical law from first principles, indifferent to substrate tokens (genes/capital/parameters).
The framework survives falsification of any particular simulation: its achievement is deriving dynamical necessity from ontological constraint—philosophy's physics achievement.
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PRRICCE v8.0 Complete.pdf
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- Alternative title
- Simulation Evidence for PRRICCE's Entropy Constraint in Artificial Intelligence