As we noted, although Bayesianism has had a special appeal for Empiricists, one can use Bayesian methodologies and remain open to Nativist possibilities.  There is nothing to prevent a Bayesian from starting with an innate system of representations and computational machinery and then using Bayesian algorithms to figure out how learning from experience might work for such a system.  This approach is very much in line with the Core Nativist theorizing discussed in section 2.  (For a detailed defense of this methodology, see Lake et. al. forthcoming).