Entropy and temperature inherently require the abstraction of macrostates from microstates. Recommend reading this: http://www.av8n.com/physics/thermo/entropy.html if you haven't seen this before (or just want an unconfused explanation).
One we already talked about together is the problem of defining the locality of goals. From an abstraction point of view, local goals (goals about inputs) and non-local goals (goals about properties of the world) are both abstractions: they throw away information. But with completely different results!
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?
I'm working on a post of examples for how to formulate problems involving abstraction (using the abstraction formulation here). This isn't going to solve problems, just show how to set them up mathematically.
To that end, I'd like to hear particular problems people are interested in which intuitively seem to involve abstraction. Examples of the sort of thing I have in mind:
There is a high chance that your request (or at least something very similar to it) will be incorporated in the post. So, what examples would people like to see?