PHILIA-EcoSensory Swarm: Heterogeneous Receptor Layers and Phase Offsets as Drivers of Will Diversity in a 50-Neuron Toy Network

This paper presents PHILIA-EcoSensory Swarm, a toy model of N=50 artificial neurons (PHILIA v9 core) equipped with heterogeneous receptor layers and private phase offsets (φᵢ). Extending the PHILIA-SAN/DAN/TAN series and the v25–v28 experimental arc, this work tests whether structural diversity in input processing — rather than learned synaptic weights — can generate individuality in a neuron population. A 5-condition ablation study (v27, T=30,000, 5 seeds) demonstrates that phase offsets alone generate experiential divergence (0.0000 → 0.0711), while heterogeneous receptor layers drive will diversity (Goal_std 0.0162 → 0.5878). In the N=50 full experiment (v28, T=60,000), SR correlation collapses from 0.9920 to 0.2419 and Goal_std reaches 0.8857, without W matrix diffusion. Results indicate that temporal desynchronization (φᵢ) and receptor heterogeneity are sufficient to produce individuality and collective will diversity. Diffusion acts as a conditional modulator, not a primary driver. All numerical results were executed on local machine (Intel N100 CPU, Windows). No AI-generated or proxy values are used. Part of the PHILIA OS series — Description, not Proof. | 0∞1∞0.5∞