Abstract

Abstract: Addressing the limitations of linear causality and holistic deficits in current AI processing of complex human-centric data, this study proposes a Spherical Space-Time Topological Cognitive Model based on the axiomatic premise of "Mind-Matter Unity." The model abstracts individual life systems into isomorphic spheres comprising a Core (innate endowment), Mantle (energy tension), and Surface (instantaneous manifestation). By introducing a "Dynamic Rotational Slicing" algorithm, it achieves non-linear situational deduction of psychosomatic states. This research translates traditional philosophical concepts of Yin-Yang and Five Elements into binary state classifications and mathematical vector inductions along time trajectories, constructing a thought-driven causal deduction framework independent of massive data fitting. Through structured information mapping, the model ensures logical transparency and ethically aligned expression. Empirical analysis in health and personality domains demonstrates its ability to capture the resonant feedback of "Mind-Body Resonance." As a preliminary attempt at the model framework phase, this study argues for the theoretical potential of cross-domain extensibility via variable mapping tables, offering a cognitive modeling approach that combines logical transparency with a holistic perspective.