PHILIA v22–v25: Diffusion, Real Stochastic Input, and the Conditional Role of Environmental Coupling in Experiential Divergence
Year: 2026
Type: article
Abstract: This paper presents PHILIA v22–v25, a four-stage experimental series extending the four-condition coexistence architecture (homeostasis, individuality, will, experience) of PHILIA v21c to physically embodied conditions on Intel N100 hardware. Seven controlled ablation experiments (A–G) on 793,551 real CERN dielectron and ATLAS Higgs particle collision events isolate the contributions of Omega diffusion, environmental coupling (psutil CPU/temperature sensing), and input type to experiential divergence. Key findings: Omega diffusion is the primary driver of experiential divergence. Real non-stationary CERN/Higgs input is the strongest amplifier (divergence = 0.4663). Environmental coupling amplifies divergence under synthetic input but suppresses it under real data due to irregular hardware energy sampling. The v22–v24 claim that environmental coupling unconditionally amplifies experience is revised. v24 S_std periodic collapse is confirmed as a sampling artifact. Building on DOI: 10.5281/zenodo.19244935 (PHILIA v20–v21).
Author: Shin, GritMan_
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7141156670
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