PRRICCE Thermodynamic Cage of Matrix Intelligent Systems v1.0

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.