Experimental series demonstrates restoration of individuality in multi-agent systems, suggesting effective architectural interventions.
This paper presents a three-version experimental series (PHILIA v14, v15, v16) investigating the restoration of agent individuality in recursive homeostatic multi-agent systems, using real-world high-energy physics datasets (CERN dielectron and ATLAS Higgs ML Challenge). Building on PHILIA v11–v13, which identified the single-attractor nature of the structural update equation as the root cause of individuality collapse, this work tests three successive architectural interventions: v14: Riemann Zeta-derived signals at the SR level — individuality collapses across all alpha values.v15: Agent-specific Zeta fixed points injected as bias terms in the S equation — partial effect, peak Goal Std 0.000503 at zeta_scale = 2.0.v16: Agent-specific contraction coefficients γᵢ derived from Riemann Zeta zeros — individuality restored at gamma_scale ≥ 1.0 (Goal Std = 0.005359, S Std = 0.012724), confirmed across both datasets. All numerical results were executed directly on the local machine of GritMan_D.S. No AI-generated or proxy values are used. Conducted and authored by: GritMan_D.S (Independent Researcher, B.Sc. Exercise Physiology) · Claude / 선비 (Anthropic), Trinity AI Research Team.
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