The Epistemic Trajectory Framework (ETF) analyzes the evolution of structural competence across time. Rather than treating mastery as a static property, ETF models learning and system development as trajectories through structured knowledge spaces.
The framework formalizes transition dynamics, stability regions, and failure regimes within epistemic development processes. It is applicable to both human learning systems and artificial adaptive systems.
Ongoing research program with formal extensions under development. See the Publications page for related work.