PHILIA-EcoSensory Swarm v49: Self-Discrimination as Level-Invariant Emergent Property via PHI_NATURAL Deviation
Authors/Creators
Description
We present a systematic investigation of environment-dependent state separation in PHILIA-EcoSensory Swarm v49. Using a three-environment protocol (Conv: synthetic OU+DG; Div: Lorenz63 chaotic; Mixed: block-alternating), we measure phi_actual trajectory distance from PHI_NATURAL across 420 runs (10-seed pilot + 40-seed main, seeds 62-101, T=80,000 steps).
Key findings:
(1) F_disc = ||phi_actual - PHI_NATURAL|| separates three environments with KS = 0.639-1.000 (all p < 1e-10), level-invariant across L3/L4/L5.
(2) Mixed environment exhibits Div-ward trajectory drift (0.50 → ~0.70), consistent with path-dependent internal state evolution.
(3) L5 full tuning suppresses F6 coherence outside quantum-physics substrate; F_disc is unaffected.
All results from local machine execution (AMD Ryzen 9 9800X3D + RTX 4080 SUPER 16GB). No AI-generated or proxy values used.
Trinity AI Research Team | April 2026
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philia_v49_paper (5).pdf
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Additional details
Related works
- Is supplement to
- Other: 10.5281/zenodo.19815222 (DOI)
Software
- Programming language
- Python