We present Resonance, an open-source simulation engine in which life, metabolism, evolution, and chemotherapy resistance emerge from 5 primitive axioms and 4 fundamental constants. Unlike conventional agent-based models that parameterize behavior per species, Resonance derives all ~40 lifecycle thresholds algebraically from four numbers: the Kleiber exponent (0.75), four matter-state dissipation rates (0.005-0.25), a coherence bandwidth (50 Hz), and a spatial density scale (20.0). The engine implements a complete biological hierarchy — from Coulomb-bonded molecules through variable-length genomes, codon-based genetic codes, lattice protein folding, metabolic networks, and multicellularity — without a single hardcoded species definition. We validate internal consistency with 2,994 automated tests across 109,000 lines of Rust, demonstrate deterministic reproducibility, and show that the same framework produces emergent chemotherapy resistance dynamics consistent with published clinical models (Bozic et al., 2013).
Augusto Gomez Saa (Fri,) studied this question.