Holistic Computing: A Non-Reductionist Computational Paradigm Hypothesis Based on Multi-Scale Coupling and Phase Interference

The classical computational paradigm of modern science is deeply rooted in reductionism, attempting to approximate the macroscopic whole by splicing microscopic entities through infinite dichotomy. However, when processing cross-dimensional systems and quantum observations, this pathway—obsessed with absolute local definitions—leads to a severe epistemological and ontological mismatch (such as the mathematical illusion of quantum superposition states). In response to this computational crisis, a novel "Holistic Computing" paradigm hypothesis is proposed in this paper. This paradigm fundamentally redefines the physical significance of "observation": in an unobserved, isolated system, any entity undergoes formless wave function evolution purely in the form of "1D Energy Scalars". The essence of "being observed" is that this isolated system has undergone an irreversible topological interference with the external environment (the observer). It is precisely this interactive collision that triggers "dimensional elevation," forcing the formless scalar energy to ascend in dimension and fall into "Phase Containers" of multi-dimensional rotational orbits, thereby manifesting as a measurable, tangible composite vector entity. The ultimate physical state in which an entity manifests is not an inherent property; rather, it is absolutely determined by the dynamical interference network at the intersection of the one-dimensional foundational energy and the high-dimensional spacetime containers at the instant of observation. To precisely calculate the energy relations at this intersection, this paper derives a "60-order cross-dimensional synchronous coupled interference matrix" generated by dimensional projection variance, achieving a 1:1 absolute alignment of formless energy and tangible containers on the time manifold. Upholding the core principle to "Calculate First, Define Later," this model injects the specific attributes of the observer into the coupled network as rigid boundary conditions. Through the principle of the Path of Least Resistance and polarity modulation, it deduces the semantic and state collapse that is most likely to occur when the high-dimensional probability cloud encounters a specific observer. This paper also proposes for the first time the "Collapse Coefficient ()" to quantify the inevitability of the predicted results. This research provides a non-reductionist computational engine for complex systems based on "cross-dimensional interweaving and collapse probability matching," offering a highly breakthrough topological perspective for the non-local quantum observation conundrum and the construction of cognitive models in Artificial General Intelligence (AGI).