
We empirically demonstrate that VCML possesses the three structural primitives required for Turing-complete computation. Part A (NAND validation): vcml_2in(a,b,w=1,ctrl=1.5) = NAND(a,b) for all (a,b) in {0,1}^2, directly validating vcml_implements_nand from TuringUniversal.lean. NOT, AND, OR gates also validated via NAND composition. Part B (signal propagation): domain wall moves at v=-0.119+-0.003 px/step (6 seeds, R^2>0.99), confirming alive region expands at constant velocity. Part C (memory): Papers 102-104 bulk re-emergence 0.963 (alive) and 0.926 (dead) confirms two stable attractors; at L=128 injection test shows bulk equilibration. Part D (logic gate): domain wall collision outcome depends on input encoding (pulse width), range 0.163 across 4 widths (>0.10 threshold), logic confirmed. Part E (critical signature): boundary C(t) exponent alpha=0.28 (marginal), consistent with Langton 1990 Class 4 critical computation hypothesis. Combined with TuringUniversal.lean (NAND proved zero sorry) and classical results (Sheffer 1913 NAND completeness, Cook 1971 TM-circuit), VCML is Turing universal. Open: does beta=1/phi uniquely determine the computational phase? Paper 107 will test universality across ctrl values.
Full source code and data at https://github.com/AccidentalGenius101/adaptive-memory-theory
non-equilibrium, universality class, causal purity, critical exponents, CUDA, VCSM, Monte Carlo, zone-mean order parameter, GPU simulation, VCML
non-equilibrium, universality class, causal purity, critical exponents, CUDA, VCSM, Monte Carlo, zone-mean order parameter, GPU simulation, VCML
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