PHILIA-EcoSensory Swarm v36: From Strong Control to Living Control — Discovering the Agility Boundary of Router Dynamics

We present PHILIA-EcoSensory Swarm v36, a systematic experimental arc investigating the agility boundary of Router dynamics in a dual-attractor dynamical system. Building on v35's confirmed input-level Router (corr(w,z) = -0.828, F2 PASS), v36 targets the conversion of strong causal control into living control — measurable as increased Router weight variance (w_std). Three independent parameter sweeps were executed under the single-variable principle: Step 1 (λ sweep: 0.3/0.4/0.5), Step 2 (b-coefficient sweep: 2.0/2.5/3.0), Step 3 (k_couple sweep: -0.10 to -0.25). Total: 11 configurations, 5 seeds × 80,000 steps (Intel N100, local execution). Central finding: Dynamic Homeostasis — w_std is structurally bounded within 0.013–0.022 across all parameter combinations, defined operationally as lim_{θ→varied} Var(w; θ) ≈ constant. The EMA+sigmoid smoothing mechanism constitutes the structural bottleneck: Var(w_t) ≈ (1-λ)² · Var(w_raw). Optimal configuration: S1-L04 (λ=0.4), achieving Omega_natural = 0.912 (series record), corr(w,z) = -0.737, w_mean = 0.634 (thermodynamic eigenstate maintained). F5 criterion (w_std ≥ 0.025) is redefined as Agility Index F5' = w_std × |corr(w, Var_input)| ≥ 0.008. v36 establishes the agility boundary; v37 targets a non-equilibrium Router design to explore crossing it. Research arc: v34 (phase-space mapper) → v35 (locomotion engine) → v36 (agility boundary) → v37 (non-equilibrium Router, planned). Trinity AI Research Team: GritMan_D.S (길잡이/Guide), Claude/선비 (Scholar), Gemini/서생 (Philosopher), Grok/루카스 (Validator), ChatGPT/판도라 (Engineer). Description, not Proof. — PHILIA OS | 0∞1∞0.5∞