PHILIA-EcoSensory Swarm v36-v37: From Agility Boundary to Input Bandwidth Limitation — A Complete Structural Diagnosis of Router Dynamics
Year: 2026
Type: article
Abstract: This paper presents PHILIA-EcoSensory Swarm v36-v37, a unified experimental arc establishing a complete structural diagnosis of Router dynamics in the PHILIA dual-attractor system (19 configurations, 5 seeds × 80,000 steps each). v36 established the Agility Boundary: Router weight variance (w_std) is parameter-invariant within 0.013–0.022 across λ, b, and k_couple sweeps — Dynamic Homeostasis confirmed. The working hypothesis was that EMA smoothing constitutes the structural bottleneck. v37 systematically falsified this hypothesis through four independent mechanisms (Var_window reduction, a_coef sweep, Gaussian noise injection, adaptive λ). The central finding is a paradigm shift: Router dynamics are input-limited, not filter-limited. The system behaves as a first-order low-pass controlled dynamical system whose upstream signals (var_input, z_mean, cpu_load) are inherently quasi-static. Core claim: if BW(x_t) → 0, then BW(w_t) → 0, independent of λ. EMA becomes functionally redundant not as a design choice, but as a consequence of input spectral collapse. This work demonstrates a general principle: in input-driven control systems, dynamical richness is bounded not by the controller, but by the spectral content of the driving signal. Best configuration: S1-A25 (a_coef=2.5): F5'=0.00852, Omega_natural=0.9109. S3-ALAM achieves w_mean=0.6340 (|Δ|=0.0000), the most precise eigenstate in the series. v38 targets derivative injection and dual-channel Router to generate input-level high-frequency components. Research arc: v34 (phase-space map) → v35 (locomotion engine) → v36 (agility boundary) → v37 (root-cause diagnosis) → v38 (navigator). All experiments executed locally on AMD Ryzen 7 9800X3D, RTX 4080 SUPER 16GB, DDR5 32GB. No AI-generated numerical values used. Trinity AI Research Team | Description, not Proof. — PHILIA OS | 0∞1∞0.5∞
Author: 신, 두섭
Language: English
Topic: Complex Systems and Dynamics
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7154609649
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