Efficient Search under Finite Conditions A Dual-Mode Architecture of Model Management

Scientific and technical search processes unfold under finite conditions. Limited resources, alongside growing model complexity, generate structural tensions between stability consolidation and exploratory opening. Although this tension field has been described across disciplines, a generic architecture is often missing that can structure the dynamic reweighting between consolidation and exploration by means of explicit efficiency indicators.The operative vocabulary used in this paper is canon-compatible, derived from Epistemik as an epistemic infrastructure as well as from the concept of friction as a boundary signal of finite capacity developed therein. This is not an independent theory, but rather an architectural extraction and continuation of these structural concepts. The specific contribution lies in elaborating a Dual-Mode Architecture of model management that describes search processes as dynamic configurations of stabilized transition types and formulates a relational dominance logic: In real search systems, transitions between consolidation and exploration typically occur as gradual shifts of relative mode dominance in resource allocation.Validity is understood as robustness under disturbance, costs as required process tension. Friction functions as a diagnostic indicator of a declining ratio of robustness gain to effort. Increasing friction density, robustness plateaus, and nonlinear tension dynamics mark threshold consolidations at which a priority reweighting in favor of exploratory transition types becomes structurally plausible. The architecture is intended as a generic instrument for increasing structural search efficiency under finite conditions. It neither replaces domain-specific theories nor offers truth guarantees, but makes the control logic of model spaces explicitly formulable and thereby describable as an operative prerequisite for adaptive model development.