When do we learn abstractions bottom-up (like identifying regularities in sense data) versus top-down (like using a controlled approximation to a theory that you can prove will converge to the right answer)? What are the similarities between what you get out at the end?
Abstraction learning in general is an area where I’m not yet fully satisfied with my own understanding, but I’ll see if I can set up anything interesting around this.
When do we learn abstractions bottom-up (like identifying regularities in sense data) versus top-down (like using a controlled approximation to a theory that you can prove will converge to the right answer)? What are the similarities between what you get out at the end?
Abstraction learning in general is an area where I’m not yet fully satisfied with my own understanding, but I’ll see if I can set up anything interesting around this.