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 Hᵢ (t) over a 1000-step window, yielding a per-neuron epistemic depth coordinate zᵢ in 0, 1. Key findings: - zₑarly > zₗate: 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 | GritManD. S | 2026. 04Description, not proof. — PHILIA OS | 0∞1∞0. 5∞