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.
dynamical-systems complex-systems control-theory resilience computational-modeling self-organization robustness cognitive-systems adaptive-systems phase-transitions theoretical-framework symc substrate-agnostic adaptive-intelligence intelligence-framework boundary-dynamics adaptive-stability constraint-regulation system-coherence non-ml-ai
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Updated
Dec 12, 2025