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Adaptive Intelligence Framework (AIF) formalizes intelligence as a boundary-regulated adaptive process. Grounded in SymC principles, it studies how systems maintain coherence under uncertainty through constraint negotiation, regulation, and phase transitions - focusing on adaptive stability rather than benchmark optimization or ML scaling.
Geophysics: Geophysical applications of the SymC framework. Applies χ ≈ 1 stability principles to planetary systems including seismic dynamics and fault behavior. Foundation for expanding into broader planetary sciences as the framework develops.
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
Economic applications of the SymC framework. Applies χ ≈ 1 stability principles to market microstructure, distinguishing governed systems (HFT-stabilized) from ungoverned systems (selection-driven). Demonstrates framework universality in human adaptive systems.Retry
Biological and medical applications of the Symmetrical Convergence (SymC) framework. Exploring critical damping in cellular, neurological, and immune systems for stability and adaptive control.