智能源于耗散结构优化自身不确定性的自指耗散 "Intelligence arises from dissipative structures optimizing their own uncertainty through self-referential dissipation."
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Updated
Dec 19, 2025
智能源于耗散结构优化自身不确定性的自指耗散 "Intelligence arises from dissipative structures optimizing their own uncertainty through self-referential dissipation."
Foundational papers for the Symmetrical Convergence (SymC) framework. Establishes χ ≈ 1 as a universal stability boundary governing quantum-classical transitions, parameter emergence, and adaptive system behavior. The theoretical core from which all domain-specific applications derive.
Cosmological applications of the SymC framework. Applies χ ≈ 1 stability principles to universe-scale phenomena including cosmic acceleration onset, black hole thermodynamics, and cyclical cosmology. Demonstrates framework consistency from quantum boundaries to cosmic structure.Retry
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