I pretty strongly think this is the same distinction as I am pointing at with selection vs control, although perhaps I focus on a slightly broader cluster-y distinction while you have a more focused definition.
I think this distinction is something which people often conflate in computer science more broadly, too. Often, for example, a method will be initially intended for the control case, and people will make ‘improvements’ to it which only make sense in a selection context. It’s easy for things to slide in that direction, because control-type algorithms will often be tested out in computer-simulated environments; but then, you have access to the environment, and can optimize it in more direct ways.
I’m more annoyed by this sort of mix-up than I probably should be.
I pretty strongly think this is the same distinction as I am pointing at with selection vs control, although perhaps I focus on a slightly broader cluster-y distinction while you have a more focused definition.
I think this distinction is something which people often conflate in computer science more broadly, too. Often, for example, a method will be initially intended for the control case, and people will make ‘improvements’ to it which only make sense in a selection context. It’s easy for things to slide in that direction, because control-type algorithms will often be tested out in computer-simulated environments; but then, you have access to the environment, and can optimize it in more direct ways.
I’m more annoyed by this sort of mix-up than I probably should be.