PHILIA-EcoSensory Swarm v32 reveals thermodynamic eigenstates in a neuron network, indicating a new approach to coherence.
PHILIA-EcoSensory Swarm v32 extends v31's PHILIA Tensor architecture with a Dynamic Center mechanism — replacing the fixed S_center=0.9360 with a vectorized Phi_center=(xc, yc, zc) that evolves alongside the swarm's Phase Vector. Key findings (5 seeds × 80,000 steps, Intel N100 local execution):- Omega = 0.4225 ± 0.0043 (series record, +0.0012 vs v31)- Phi_natural = (0.34, 0.19, 0.42) — PHILIA thermodynamic eigenstate (discovered, not designed)- Omega_natural = 0.8822 (natural basis coherence)- Sc↔z = 0.3200 (first confirmed positive temporal coupling) Central discovery: Omega does not measure optimality, but proximity to a predefined attractor. When B_RESTORE=0, Phi_center converges to Phi_natural — the swarm's intrinsic equilibrium independent of design intent. This establishes a dual-attractor framework: designed coherence (Phi*=(0,1,1)) vs. intrinsic coherence (Phi_natural). "The center no longer defines the system — it reveals it." Trinity AI Research Team | Description, not Proof. — PHILIA OS | 0∞1∞0.5∞
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