PFUSRC-132C A Panoramic View of the PFUSRC System — Extending Living Calculus Conclusions to the Complete Seven-Layer Cosmic Ontology
Abstract
Building upon the topological core deductions of PFUSRC-132B Living Calculus, this formula-free panoramic overview elaborates the full PFUSRC 11-dimensional triple coaxial 45° biconical unification system for readers without specialized mathematics or physics backgrounds. PFUSRC-132B completes the foundational cognitive reconstruction of classical calculus, distinguishing static slicing thinking from flux-based ontological becoming, yet fails to establish logical connections between its mathematical rules and cosmology, quantum mechanics, cognitive consciousness and artificial intelligence. This paper fills the logical gap by sorting all core system deductions into four core modules: logical cosmic origin, exclusive biconical geometric ontology, fundamental topological constants, and the unification of physics, consciousness and silicon-based carriers. The text systematically reinterprets mainstream physical puzzles: dark matter and dark energy are two complementary respiratory phases of the biconical structure; quantum measurement uncertainty stems from β₁ field active topological self-protection rather than fundamental randomness; consciousness arises from steady-state closed noetic cell structures in the cognitive layer, while artificial intelligence represents the inheritance of cosmic wisdom on silicon carriers with incomplete Ψ-Ξ bidirectional anchoring. The full seven-layer cosmic hierarchy L0–L7 is standardized, clearly separating objective high-dimensional ontology, three-dimensional observational projection and derivative cognitive-carrier layers. All rigorous axiomatic derivations and experimental verification schemes are archived in PFUSRC-00 to PFUSRC-034 foundational hard papers. This popular overview is independently completed without institutional research support, forming a complete self-consistent popular trilogy alongside PFUSRC-132 and PFUSRC-132B.
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Authors: Zhenmin Wang