  It is important not to underestimate the challenge that Empiricists face.  The Bayesian formalism might make it seem that all that needs to be explained is why the hypotheses compatible with the data are ordered in the way they are.  So, for example, if it could be shown that the bias for a light from above explanation of the retinal image (in section 3.2) could, in principle, have been learned from experience, then it might appear that the Empiricist wins the round.  It is plausible that some of the priors relevant to scene recognition will be learnable in this way, so this may be right as far as it goes.  But it does not get to the heart of the challenge.