I'm betting on learning (both human and ML) being analogous to renormalization in QFT. Essentially, you are trying to explain a process in terms of imperfect patterns. With incoming data, you update both your patterns and your locations where these patterns occur at once.
There is some research into this https://phys.org/news/2022-05-renormalization-group-methods-...