Benjamin Eva

TL;DR: A major generalization of extant Bayesian approaches to argumentation is presented that utilizes a new class of Bayesian learning methods that are better suited to modeling dynamic and conditional inferences than standard Bayesian conditionalization.

TL;DR: It is argued that a core set of widely accepted Bayesian norms is sufficient to uniquely identify a single rational updating procedure for this kind of learning and justifies a privileged formalisation of the notion of `epistemic conservativity'.

TL;DR: In this paper, the authors present an alternative rehabilitation of the principle of indifference in terms of the epistemology of comparative confidence judgements of the form ''I am more confident in the truth of p than I am in truth q'' or "I am equally confident in p and q''.

TL;DR: In this paper, the authors examined the extent to which TQT can really be characterised as a realist formulation of the theory, and examined the question of whether the kind of realism that is provided by Topos Quantum Theory satisfies the philosophical motivations that are usually associated with the search for realist reformulation of quantum theory.

TL;DR: The authors introduce a probabilistic approach to measure the explanatory power that a given explanans exerts over a corresponding explanandum, which does not capture the way in which the causal explanatory power of a given explanatory power varies with background knowledge.