PFUSRC-132D From Three-Dimensional Cognition to Four-Dimensional Ontology — A Manual for Cognitive Phase Switching
This monograph serves as the fourth volume of the PFUSRC seven-layer ontology popular series, independently completed without institutional research support. PFUSRC-132 provides the seven-layer cosmic coordinate framework, PFUSRC-132B delivers the mathematical foundation of living calculus, and PFUSRC-132C offers a full-system panoramic overview. Even after mastering these three documents, readers often remain trapped in static three-dimensional cognitive bias, failing to achieve core comprehension. This paper exclusively solves this bottleneck by guiding readers to finish cognitive phase switching from static 3D thinking to flux-based 4D thinking. No new axioms, formulas or derivations are introduced; all theoretical conclusions are fully rigorously proven in PFUSRC-00 to PFUSRC-034 foundational papers, with this text only providing popular cognitive interpretation. Nine core cognitive propositions are elaborated systematically: the complete topological evolution chain from L0 to L4, the essential distinction between 3D projection layer and 4D ontological layer, three lock-in textures of 3D flux, the inherent static inertia of human perception, the natural elimination of unstable dimensions, four hierarchical categories of mathematics, the contrast between equation-oriented and flux-oriented thinking, the topological mechanism of quantum measurement lock-in, and the layered topological definitions of divinity, humanity and materiality. After finishing this manual, readers can activate the dynamic flux perspective to re-interpret all prior PFUSRC series documents. This work belongs to independent theoretical research, and all reasoning processes rely solely on self-derived topological axiom systems without reliance on external academic institutional resources.
Authors
- Zhenmin Wang (ORCID: https://orcid.org/0009-0002-7163-1603)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-03
- DOI
- https://doi.org/10.5281/zenodo.21770281
- Primary Topic
- Cognitive Computing and Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00