Bayesianism and Inference to the best explanation are two different models of inference. Recently there has been some debate about the possibility of “bayesianizing” IBE. Firstly I explore several alternatives to include explanatory considerations in Bayes’s Theorem. Then I distinguish two different interpretations of prior probabilities: “IBE-Bayesianism” and “frequentist-Bayesianism”. After detailing the content of the latter, I propose a rule for assessing the priors. I also argue that Freq-Bay: endorses a role for explanatory value in the assessment of scientific hypotheses; (...) avoids a purely subjectivist reading of prior probabilities; and fits better than IBE-Bayesianism with two basic facts about science, i.e., the prominent role played by empirical testing and the existence of many scientific theories in the past that failed to fulfil their promises and were subsequently abandoned. (shrink)

I want to thank my critics not only for their attention to my book but also for their hospitality in Valencia, where they first presented me with their stimulating and wide‐ranging criticisms. 1 Th...

I respond to six objections, raised by Selim Berker and Karl Schafer, against the theory offered in my Empiricism and Experience: (1) that the theory needs a problematic notion of subjective character of experience; (2) that the transition from the hypothetical to the categorical fails because of a logical difficulty; (3) that the constraints imposed on admissible views are too weak; (4) that the theory does not deserve the label 'empiricism'; (5) that the motivations provided for the Reliability constraint are (...) insufficient; and (6) that convergence is bound to fail since epistemic entitlements are permissions. (shrink)