Most learning theories are either cognitive (mental models) or statistical (Bayesian update), and rarely formalize how knowledge transforms across abstraction layers.

Few frameworks exist for representing recursive belief structures, cross-domain analogies, or meta-level learning (learning how to learn).

There’s little alignment between formal epistemology and applied system learning (design, AI, planning).