A sequence of preprints developing the IRAM-Ω-Q framework for uncertainty regulation, anticipatory control, hysteresis, and adaptive artificial agency.
Introduces the IRAM-Ω-Q architecture, including entropy regulation, coherence-gap dynamics, susceptibility maps, and the basic regulation-first versus disturbance-first comparison.
Examines how regulation timing changes the burden of control in an adaptive artificial agent, with emphasis on hysteresis, path dependence, and anticipatory stabilization.
Studies switching between anticipatory and reactive control, showing that intermittent anticipatory access can produce a nonlinear switching effect rather than a simple average of fixed-control regimes.
Explores the case where regulation itself becomes a source of disturbance, distinguishing external noise, internal fluctuations, and control-induced instability.