Well, you don’t have a guarantee that a computable model will succeed, but you do have some kind of guarantee that you’re doing your best, because computable models is all you have. If you’re using incomplete/fuzzy models, you can have a “doesn’t know anything” model in your prior, which is a sort of “negative belief about physical/naturalism”, but it is still within the same “quasi-Bayesian” framework.
Well, you don’t have a guarantee that a computable model will succeed, but you do have some kind of guarantee that you’re doing your best, because computable models is all you have. If you’re using incomplete/fuzzy models, you can have a “doesn’t know anything” model in your prior, which is a sort of “negative belief about physical/naturalism”, but it is still within the same “quasi-Bayesian” framework.