Keeping Bayesian models rational: The need for an account of algorithmic rationality
David J. Danks, Frederick Eberhardt · Behavioral and Brain Sciences · 2011
Abstract We argue that the authors’ call to integrate Bayesian models more strongly with algorithmic- and implementational-level models must go hand in hand with a call for a fully developed account of algorithmic rationality. Without such an account, the integration of levels would come at the expense of the explanatory benefit that rational models provide.