 On a third approach, inductive inferences are reconstructed as episodes of Bayesian conditionalisation (see the entry on  Bayesian epistemology),  so that the grue-green contrast is traced back to the fact that some prior credence functions are more rational than others. In this setting, the most straightforward way to bring in naturalness would be to simplify identify the ideally rational prior credence functions with the maximally natural functions (within the class of functions meeting certain formal constraints, such as the axioms of probability  theory).[58]  One might also take naturalness to be merely one of several factors contributing to rationality. Or one could appeal to it in some other way: for example, Dorr and Hawthorne  (2013)  suggest that reasonable prior credence functions might be weighted averages of all sufficiently natural probability functions, in which more natural probability functions receive higher weights.