The Problem of Measure Sensitivity Redux

Fitelson (1999) demonstrates that the validity of various arguments within Bayesian confirmation theory depends on which confirmation measure is adopted. The present paper adds to the results set out in Fitelson (1999), expanding on them in two principal respects. First, it considers more confirmation measures. Second, it shows that there are important arguments within Bayesian confirmation theory and that there is no confirmation measure that renders them all valid. Finally, the paper reviews the ramifications that this "strengthened problem of measure sensitivity" has for Bayesian confirmation theory and discusses whether it points at pluralism about notions of confirmation

On the role of explanatory and systematic power in scientific reasoning

The paper investigates measures of explanatory power and how to define the inference schema “Inference to the Best Explanation”. It argues that these measures can also be used to quantify the systematic power of a hypothesis and the inference schema “Inference to the Best Systematization” is defined. It demonstrates that systematic power is a fruitful criterion for theory choice and IBS is truth-conducive. It also shows that even radical Bayesians must admit that systemic power is an integral component of Bayesian reasoning. Finally, the paper puts the achieved results in perspective with van Fraassen’s famous criticism of IB

Evidence of Evidence as Higher Order Evidence

In everyday life and in science we acquire evidence of evidence and based on this new evidence we often change our epistemic states. An assumption underlying such practice is that the following EEE Slogan is correct: 'evidence of evidence is evidence' (Feldman 2007, p. 208). We suggest that evidence of evidence is best understood as higher-order evidence about the epistemic state of agents. In order to model evidence of evidence we introduce a new powerful framework for modelling epistemic states, Dyadic Bayesianism. Based on this framework, we then discuss characterizations of evidence of evidence and argue for one of them. Finally, we show that whether the EEE Slogan holds, depends on the specific kind of evidence of evidence

How to resolve doxastic disagreement

How should an agent revise her epistemic state in the light of doxastic disagreement? The problems associated with answering this question arise under the assumption that an agent’s epistemic state is best represented by her degree of belief function alone. We argue that for modeling cases of doxastic disagreement an agent’s epistemic state is best represented by her confirmation commitments and the evidence available to her. Finally, we argue that given this position it is possible to provide an adequate answer to the question of how to rationally revise one’s epistemic state in the light of disagreemen

Rational Relations Between Perception and Belief: The Case of Color

The present paper investigates the first step of rational belief acquisition. It, thus, focuses on justificatory relations between perceptual experiences and perceptual beliefs, and between their contents, respectively. In particular, the paper aims at outlining how it is possible to reason from the content of perceptual experiences to the content of perceptual beliefs. The paper thereby approaches this aim by combining a formal epistemology perspective with an eye towards recent advances in philosophy of cognition. Furthermore the paper restricts its focus, it concentrates on the case of color perception and perceptual beliefs about color

No knowledge required

Assertions are the centre of gravity in social epistemology. They are the vehicles we use to exchange information within scientific groups and society as a whole. It is therefore essential to determine under which conditions we are permitted to make an assertion. In this paper we argue and provide empirical evidence for the view that the norm of assertion is justified belief: truth or even knowledge are not required. Our results challenge the knowledge account advocated by, e.g. Williamson (1996), in general, and more specifically, put into question several studies conducted by Turri (2013, 2016) that support a knowledge norm of assertion. Instead, the justified belief account championed by, e.g. Douven (2006), seems to prevail

Bayesian Confirmation: A Means with No End

Any theory of confirmation must answer the following question: what is the purpose of its conception of confirmation for scientific inquiry? In this paper we argue that no Bayesian conception of confirmation can be used for its primary intended purpose, which we take to be saying how worthy of belief various hypotheses are. Then we consider a different use Bayesian confirmation might be put to, namely to determine the epistemic value of experimental outcomes, and thus to decide which experiments to carry out. Interestingly Bayesian confirmation theorists rule out that confirmation be used for this purpose. We conclude that Bayesian confirmation is a means with no end

A Higher-Order Credal Account of Suspension (and Other Doxastic Attitudes)

When is it (epistemically) rational to suspend judgment on a proposition? Before addressing this question, one has to clarify what suspension of judgment (in short: suspension) is and establish rationality standards for the attitudes that constitute suspension. Ideally, suspending can be reduced to attitudes for which one already has established rationality standards. This paper distinguishes two kinds of suspension, weak and strong, and offers a reductionist account of suspension based on credence. However, it does not reduce suspension to credence alone but takes a higher-order perspective on credence into account. Other doxastic attitudes such as belief and doubtful belief are also reexamined and defined in the light of this higher-order perspective

Experts

This entry provides an opinionated overview of key epistemological debates regarding experts. To comprehend, justify, and enhance our practices of trusting, utilising, and depending on experts' judgments, it is crucial to clarify the characteristics of experts and the means of identifying those who exemplify them. Consequently, this entry examines and evaluates accounts of the main characteristics of experts. Furthermore, it discusses indicators of experts that help recognise experts and considers to what extent they are accessible to other experts and laypersons