📋 Zenodo 설명란 (Description) PHILIA v11 is a goal-adaptive multi-agent recursive system developed by Trinity AI Research to investigate the emergence of homeostasis, adaptability, and criticality in complex dynamical systems. This paper presents three core experiments executed on real-world high-energy physics datasets — CERN Dielectron collision data and ATLAS Higgs decay data — and reports ground-truth results obtained from direct local execution by the lead researcher (GritManD. S). Key findings: Strong homeostatic robustness: the system fully absorbs an instantaneous environmental shock (amplitude 2. 0, 4× normal range) without SR trajectory disruption Pre-critical regime confirmed: no sharp SR transition observed across λ ∈ 0. 000, 0. 010 Fundamental stability–individuality trade-off identified: global mean-field goal alignment drives irreversible synchronization of all 50 agents within ~5, 000 of 60, 000 timesteps, eliminating agent-level diversity as a structural consequence of the architecture PHILIA v11 is characterized as a pre-critical homeostatic system — adaptive and robust, but lacking the heterogeneity required for life-like behavior. This work establishes a reproducible quantitative baseline for future versions introducing diversity-preserving and criticality-inducing mechanisms. Part of the ongoing PHILIA Engine research series (v8 → v13) by Trinity AI.
GritMan_ Shin (Tue,) studied this question.