PHILIA-EcoSensory Swarm v29: Shannon Meta-Cognition and Phase Vector Emergence in a 50-Neuron Network

We present PHILIA-EcoSensory Swarm v29, extending the v28 EcoSensory architecture with a Shannon Meta-Cognition receptor. Each of N=50 PHILIA v9 neurons maintains a rolling history of its own state S and computes Shannon entropy H_i(t) over a 1000-step window, yielding a per-neuron epistemic depth coordinate z_i in [0,1]. Key findings:- z_early > z_late: neurons converge toward epistemic certainty (empirical direction) over time- Phase Vector Φ = (0.1543, 0.4010, 0.3978) fully measured for the first time- Ω = 0.3174 ± 0.0088: reproducible proximity to coexistence attractor Φ*=(0,1,1)- x = Divergence confirmed as emergent individuality (Z→Y→X hierarchy preserved) Building on PHILIA-SAN/DAN/TAN/v25-v28 series. All results measured on local machine (Intel N100). No AI-generated values. Trinity AI Research Team | GritMan_D.S | 2026.04Description, not proof. — PHILIA OS | 0∞1∞0.5∞