A Systems Theory of Transfer Learning

Existing frameworks for transfer learning are incomplete from a systems theoretic perspective. They place emphasis on notions of domain and task, neglect structure behavior. In doing so, they limit the extent to which formalism can be carried through into elaboration their frameworks. Herein, we use Mesarovician theory define as relation sets, subsequently, characterize general nature mathematical construct. We interpret existing in terms ours go beyond transferability, roughness, distance. Importantly, despite its formalism, our framework avoids detailed mathematics or machine solution methods without excluding consideration. As such, provide formal, modeling that offers rigorous foundation system design analysis.