You're talking about an inductive framework in which we create deductive frameworks that model the world we live in as best as we can tell. This is very, very hard work. The flipping back and forth between the inductive framework and the deductive framework -- between modeling reality and discovering and testing new aspects -- is the heart of what knowledge is, but again, this is the dance between the two frameworks.

I'm just talking about that deductive framework, that exists, locked in it's by definition arbitrary axioms. It's in that framework that machine learning should thrive, because all of the propositions possible will fall out of the axioms.