PHILIA v17–v18: The Unified Ecosystem — Simultaneous Recovery of Homeostasis, Individuality, and Will in Recursive Multi-Agent Systems

This paper presents PHILIA v17–v18, a three-stage experimental series achieving the simultaneous recovery of homeostasis (SR ≥ 0. 3), structural individuality (S Std > 0. 001), and agent will (Goal Std > 0. 001) in recursive homeostatic multi-agent systems, using real-world high-energy physics datasets (CERN dielectron and ATLAS Higgs ML Challenge). Building on PHILIA v16, which restored individuality via agent-specific contraction coefficients γᵢ derived from Riemann Zeta zeros but at the cost of near-zero SR, this work identifies and resolves the remaining architectural gap through three sequential experiments: v17 (SR-Gated Zeta Identity): Tests bidirectional SR↔S coupling — fails due to a closed-loop deadlock where SR cannot rise without individuality, and individuality cannot activate without SR. v17b (C* Scan): Identifies C* = 6. 0 as the root cause of SR failure. Lowering C* to 1. 0 restores SR = 0. 324 while leaving individuality metrics completely unchanged. v18 (Unified Ecosystem): Integrates V10's Goal learning (ΔGoalᵢ = λ· (1−Sᵢ) · (⟨S⟩−Goalᵢ) ) with the v17b architecture. SR, individuality, and Goal diversity coexist stably across all λ values, confirmed identically across both datasets. The unified architecture is interpreted through the Sliding Filament Theory of muscle physiology: γᵢ as myosin (fixed identity), Goal learning as actin sliding (adaptive will), SR as ATP energy (homeostatic force), and λ as the will intensity dial. All numerical results were executed directly on the local machine of GritManD. S. No AI-generated or proxy values are used. Conducted and authored by: GritManD. S (Independent Researcher, B. Sc. Exercise Physiology) · Claude / 선비 (Anthropic), with adversarial review by Gemini, Grok, and Pandora. Trinity AI Research Team.