PHILIA-EcoSensory Swarm v30: v9 Gearbox Central Axis and Active Meta-Cognition in a 50-Neuron Network

We present PHILIA-EcoSensory Swarm v30, extending v29 with a v9 Gearbox Central Axis architecture. A single PHILIA v9 neuron operates as a fixed reference core (I=0.28, constant), while 49 surrounding neurons maintain Active Meta-Cognition (Shannon entropy H_i over 1000-step rolling window, feeding back to gamma_i) via nonlinear tanh asymmetric coupling. Key findings:- Omega (Homeostatic Coherence) = 0.4211 ± 0.0044 — highest ever recorded in the PHILIA series (+32.7% over v29)- z_mean = 0.4255 — Shannon Meta-Cognitive epistemic depth surpasses v29- Divergence x = 0.1440 — experiential individuality maintained- Center Gap = 0.4509 — genuine reference-swarm separation confirmed- Phase Vector Phi = (0.1440, 0.3357, 0.4255) Core architectural innovation: Phi coupling fully removed (structural solution); nonlinear tanh S-correction (EPSILON_S=0.01, tanh_k=4) preserves small individual differences while correcting large deviations. The v9 gearbox (beta*SR*(1-S)) prevents static saturation of the reference core. All results measured on Intel N100 CPU (local). No AI-generated values. Trinity AI Research Team: GritMan_D.S (길잡이), Claude/Seonbi (선비), Gemini/Seogsaeng (서생), Grok/Lucas (검증자), ChatGPT/Pandora (설계자) Description, not proof. — PHILIA OS | 0∞1∞0.5∞