Endogenous Regime Switching Driven by Scalar-Irreducible Learning Dynamics

This work introduces a classification of learning dynamics (scalar-reducible vs. scalar-irreducible) and demonstrates that scalar-irreducible dynamics enable endogenous regime switching, crucial for autonomous intelligence. It proposes a new dynamical paradigm for regime exploration without external scheduling.