Epistemics Model Management Under Finite Conditions

This paper introduces Epistemics as a system for managing models and model formation under finite conditions. Epistemics is understood neither as metaphysics nor as a normative theory, and it does not replace any existing discipline. Its subject matter is the explicit analysis of the conditions, costs, stabilization, and revision of processes of model formation and knowledge production. The focus is not on grounding truth, but on clarifying validity, domains, and transitions. Starting from the structural finitude of knowledge, the paper describes stabilization, model formation, costs, and friction as central operational elements. Friction functions as a boundary and diagnostic signal that makes overextension, domain confusion, or blocked revision visible. Epistemic problems thus appear less as errors of individual actors than as systemic malfunctions of epistemic structures resulting from silent shifts in validity and cost-blindness. The paper explicitly distinguishes between subjective, intersubjective, and functional-empirical domains and shows that many conflicts arise from silent shifts of validity between these ordering spaces. Epistemics does not relativize empirical science; rather, it protects it from ontologization and overload by specifying its scope. A canonical conceptual apparatus is introduced as a starting point for further work. This canon is deliberately stabilized, yet revisable. Conceptual shifts are not carried out implicitly but documented explicitly. Epistemics thus understands itself as a tool for diagnosing epistemic malfunctions and enabling revision-capable stability, not as a final worldview.