Some of the most interesting recent work in formal epistemology has focused on developing accuracy-based approaches to justifying Bayesian norms. These approaches are interesting not only because they offer new ways to justify these norms, but because they potentially offer a way to justify all of these norms by appeal to a single, attractive epistemic goal: having accurate beliefs. Recently, Easwaran & Fitelson (2012) have raised worries regarding whether such “all-accuracy” or “purely alethic” approaches can accommodate and justify evidential Bayesian (...) norms. In response, proponents of purely alethic approaches, such as Pettigrew (2013b) and Joyce (2016), have argued that scoring rule arguments provide us with compatible and purely alethic justifications for the traditional Bayesian norms, including evidential norms. In this paper I raise several challenges to this claim. First, I argue that many of the justifications these scoring rule arguments provide are not compatible. Second, I raise worries for the claim that these scoring rule arguments provide purely alethic justifications. Third, I turn to assess the more general question of whether purely alethic justifications for evidential norms are even possible, and argue that, without making some contentious assumptions, they are not. Fourth, I raise some further worries for the possibility of providing purely alethic justifications for content-sensitive evidential norms, like the Principal Principle. (shrink)

PaceZagzebski, there is no route from the value of knowledge to a non–reliabilist virtue–theoretic epistemology. Her discussion of the value problem is marred by an uncritical and confused employment of the notion of a “state” of knowledge, an uncritical acceptance of a “knowledge–belief” identity thesis, and an incoherent presumption that the widely held thought that knowledge is more valuable than true belief amounts to the view that knowledge is a state of true belief having an intrinsic property which a state (...) of ‘mere” true belief lacks. Her arguments against a “machine–product” conception of knowledge are undermined by these flaws, while the alternative “agent–act” model she recommends is unattractive, at odds with the knowledge–belief identity thesis she favours, and no solution to the problem of the value of knowledge she poses. I end with the observation that her version of virtue–theoretic epistemology points in the direction of cognitive decision–theoretic norms, and I briefly discuss the bearing of this fact upon her viewpoint. (shrink)

The question I am addressing in this paper is the following: how is it possible to empirically test, or confirm, counterfactuals? After motivating this question in Section 1, I will look at two approaches to counterfactuals, and at how counterfactuals can be empirically tested, or confirmed, if at all, on these accounts in Section 2. I will then digress into the philosophy of probability in Section 3. The reason for this digression is that I want to use the way observable (...) absolute and relative frequencies, two empirical notions, are used to empirically test, or confirm, hypotheses about objective chances, a metaphysical notion, as a role-model. Specifically, I want to use this probabilistic account of the testing of chance hypotheses as a role-model for the account of the testing of counterfactuals, another metaphysical notion, that I will present in Sections 4 to 8. I will conclude by comparing my proposal to one non-probabilistic and one probabilistic alternative in Section 9. (shrink)

Philosophers typically rely on intuitions when providing a semantics for counterfactual conditionals. However, intuitions regarding counterfactual conditionals are notoriously shaky. The aim of this paper is to provide a principled account of the semantics of counterfactual conditionals. This principled account is provided by what I dub the Royal Rule, a deterministic analogue of the Principal Principle relating chance and credence. The Royal Rule says that an ideal doxastic agent’s initial grade of disbelief in a proposition \(A\) , given that the (...) counterfactual distance in a given context to the closest \(A\) -worlds equals \(n\) , and no further information that is not admissible in this context, should equal \(n\) . Under the two assumptions that the presuppositions of a given context are admissible in this context, and that the theory of deterministic alethic or metaphysical modality is admissible in any context, it follows that the counterfactual distance distribution in a given context has the structure of a ranking function. The basic conditional logic V is shown to be sound and complete with respect to the resulting rank-theoretic semantics of counterfactuals. (shrink)

This article shows that a slight variation of the argument in Milne 1996 yields the log‐likelihood ratio l rather than the log‐ratio measure r as “the one true measure of confirmation. ” *Received December 2006; revised December 2007. †To contact the author, please write to: Formal Epistemology Research Group, Zukunftskolleg and Department of Philosophy, University of Konstanz, P.O. Box X906, 78457 Konstanz, Germany; e‐mail: franz.huber@uni‐konstanz.de.

Belief revision theory studies how an ideal doxastic agent should revise her beliefs when she receives new information. In part I, I have first presented the AGM theory of belief revision. Then I have focused on the problem of iterated belief revisions. In part II, I will first present ranking theory (Spohn 1988). Then I will show how it solves the problem of iterated belief revisions. I will conclude by sketching two areas of future research.

I explore the prospects for modelling epistemic rationality (in the probabilist setting) via an epistemic decision theory, in a consequentialist spirit. Previous work has focused on cases in which the truth-values of the propositions in which the agent is selecting credences do not depend, either causally or merely evidentially, on the agent’s choice of credences. Relaxing that restriction leads to a proliferation of puzzle cases and theories to deal with them, including epistemic analogues of evidential and causal decision theory, and (...) of the Newcomb Problem and ‘Psychopath Button’ Problem. A variant of causal epistemic decision theory deals well with most cases. However, there is a recalcitrant class of problem cases for which no epistemic decision theory seems able to match our intuitive judgements of epistemic rationality. This lends both precision and credence to the view that there is a fundamental mismatch between epistemic consequentialism and the intuitive notion of epistemic rationality; the implications for understanding the latter are briefly discussed. (shrink)

We review the "Entitlement" projects of Tyler Burge and Crispin Wright in light of recent work from and surrounding both philosophers. Our review dispels three misunderstandings. First, Burge and Wright are not involved in a common “entitlement” project. Second, though for both Wright and Burge entitlement is the new notion, “entitlement” is not some altogether third topic not clearly connected to the nature of knowledge or the encounter with skepticism. Third, entitlement vs. justification does not align with the externalism vs. (...) internalism distinction. (shrink)

Several different Bayesian models of epistemic utilities (see, e. g., [37], [24], [40], [46]) have been used to explain why it is rational for scientists to perform experiments. In this paper, I argue that a model-suggested independently by Patrick Maher [40] and Graham Oddie [46]-that assigns epistemic utility to degrees of belief in hypotheses provides the most comprehensive explanation. This is because this proper scoring rule (PSR) model captures a wider range of scientifically acceptable attitudes toward epistemic risk than the (...) other Bayesian models that have been proposed. I also argue, however, that even the PSR model places unreasonably tight restrictions on a scientist's attitude toward epistemic risk. As a result, such Bayesian models of epistemic utilities fail as normative accounts-not just as descriptive accounts (see, e. g., [31], [14])-of scientific inquiry. (shrink)

Why does knowledge matter? Two answers have been influential in the recent literature. One is that it has value: knowledge is one of the goods. Another is that it plays a significant normative role: knowledge is the norm of action, belief, assertion, or the like. This paper discusses whether one can derive one of the claims from the other. That is, whether assuming the idea that knowledge has value — and some defensible general hypotheses about norms and values —, we (...) could derive the claim that it plays the alleged normative role. Or whether, assuming that knowledge does play that role — and some defensible general hypotheses —, we could derive the claim that it has value. It argues that the route from Value to Norms is unsuccessful. The main problem here is that the idea that knowledge has value does not seem enough to derive the idea that one should act on what one knows. It finds the route from Norms to Value more promising, though a complete path is missing. The main idea here is that knowledge is good because it is normatively required to do good things, such as believing the truth and acting in view of true propositions. But since not all normative conditions for doing something good is itself good, we still lack an explanation of why knowledge would be so. The paper finally suggests an alternative perspective, on which we do not try to derive the idea that knowledge has value from its normative role, but rather use its normative role to explain away the idea that it has value. (shrink)