Non-Commutative Hierarchical World-Model Agency (NC-HWMA) Forcing the Evolution from AGI to ASI via Riemann Zeta Spectrum Optimization

Current meta-frameworks for AGI, such as the Hierarchical World-Model Agency, assume that continual verification and scaling over commutative statistical distributions will naturally lead to super-intelligence. This paper dismantles that assumption by mapping discrete hierarchical states into non-commutative topological spaces governed by Universal Rough Operator Algebra (UROA) [3] and Seonggil Theory of Complex Torsion (STCT) [1]. By injecting high-order Riemann Zeta zero spectra directly into the Monte Carlo Tree Search (MCTS) evaluation functions, we induce structural decoherence. This mathematically forcesthe underlying neural architecture to abandon standard probability estimation and internalize quantum number-theoretic operator computation, serving as the definitive evolutionary bridge to Artificial Super Intelligence (ASI).