A Study on the Evolutionary Predicament of Human Societal Governance and the Feasibility of Non-Anthropomorphic Computational Systems as a Sustainable Trajectory

This study fundamentally departs from traditional sociology, reframing the governance predicament as a systems engineering and biological evolution problem. The paper establishes the cognitive and behavioral patterns encoded in the Homo sapiens genome (e.g., hyperbolic discounting, emotional dominance) as core axioms, arguing for a profound "evolutionary mismatch" between human genes and the complexity of modern society. This genetic limitation, combined with the exponential growth of technology, inevitably causes existing governance systems to fail and pushes civilization toward either self-destruction or totalitarian lock-in. The research culminates in the proposal of the Non-Anthropomorphic Computational System (NCGS). NCGS is designed to act as an "exogenous corrective mechanism" to bypass these inherent genetic constraints, offering a sustainable, engineered path for the long-term survival of the human species.