  Bayesianism, then, focuses the Nativist-Empiricist question on the priors. First, we need to find out where the background knowledge brought to bear in any particular task comes from. Is some part of it innate, or can its presence be accounted for in terms of higher-order Bayesian learning? At some point, the Bayesian will come up against what is not learned by Bayesian methods (at the very least, the Bayesian machinery  itself[31]), and we will want to understand its specific character. Will it be information implemented in our perceptual systems or domain-general information that applies no matter what is being learned, supporting the Empiricist view, or will some of it be tailored to specific ranges and domains of knowledge, vindicating the Nativist? We are still at the beginning of the road to the answers to these questions.