I’m curious—Would you agree or disagree with the description that prediction is selection internally? i.e. we consider different hypotheses then select the ones that fit best?
I’d guess: A predictive optimizer is built out of parts, but its defining feature is that one of the parts is beliefs about external reality. It can contain other parts, like learning or planning algorithms, which can be selective optimizers.
This made me think of Demski’s post on selection vs control: https://www.lesswrong.com/posts/ZDZmopKquzHYPRNxq/selection-vs-control
I’m curious—Would you agree or disagree with the description that prediction is selection internally? i.e. we consider different hypotheses then select the ones that fit best?
I’d guess: A predictive optimizer is built out of parts, but its defining feature is that one of the parts is beliefs about external reality. It can contain other parts, like learning or planning algorithms, which can be selective optimizers.
Yeah it seems to me like predictive optimization is often a kind of internal selective optimization.