Mathematical apriorists usually defend their view by contending that axioms are knowable a priori, and that the rules of inference in mathematics preserve this apriority for derived statements—so that by following the proof of a statement, we can trace the apriority being inherited. The empiricist Philip Kitcher attacked this claim by arguing there is no satisfactory theory that explains how mathematical axioms could be known a priori. I propose that in analyzing Ernest Sosa’s model of intuition as an intellectual virtue, (...) we can construct an “intuition–virtue” that could supply the missing explanation for the apriority of axioms. I first argue that this intuition–virtue qualifies as an a priori warrant according to Kitcher’s account, and then show that it could produce beliefs about mathematical axioms independent of experience. If my argument stands, this paper could provide insight on how virtue epistemology could help defend mathematical apriorism on a larger scale. (shrink)

The paper argues that (i) the notion of epistemic reliability, as it is standardly defined within mainstream epistemology, is a multidimensional concept, and that (ii) paying attention to reliability’s multidimensional nature can significantly expand reliabilism’s purview both in the theoretical and practical domain. Reliabilist theories of knowledge and justification agree that a process is reliable just in case it leads to a ‘sufficiently high preponderance of true over false beliefs.’ Given this straightforward definition, reliability appears to be, and so far (...) has been implicitly treated by epistemologists as, a mono-dimensional concept. Nevertheless, the terminology and formulas that statisticians and computers scientists have developed for assessing the reliability of binary classification processes reveal that for any belief-forming process whose aim is to identify the presence or the absence of some quality ι, there are at least four different interpretations of the above definition. These interpretations correspond to four separate dimensions of reliability: Precision, Negative Predictive Value (NPV), Recall and Specificity. Though epistemologists do not explicitly specify how they interpret the above definition of reliability, due to their main interest in ‘know-that’, their mono-dimensional focus seems to have so far been mainly directed at Precision alone (or, at best, to both Precision and NPV—but without distinguishing between the two). As it transpires, however, the (entirely) neglected dimensions of Recall and Specificity can guide the satisfaction of another important epistemic goal, best captured by the locution ‘know-most/all.’ The upshot is that different epistemic goals call for high levels of reliability along different dimensions (and, often, their combinations too). This observation invites upgrading reliabilism into dimensional reliabilism, according to which assessing whether a process is knowledge-conducive depends on whether it manifests high reliability along the appropriate dimension(s), given the epistemic goal at hand. (shrink)

The idea that emotional experience is capable of lending immediate prima facie epistemic justification to evaluative belief has been amassing significant philosophical support in recent years. The proposal that it is my anger, say, that justifies my belief that I’ve been wronged putatively provides us with an intuitive and naturalised explanation as to how we receive immediate and defeasible justification for our evaluative beliefs. With many notable advocates in the literature, this justificatory thesis of emotion is fast becoming a central (...) facet in how we conceive of the emotions’ epistemic role with respect to our everyday lives. Interestingly, however, despite the fact that the justificatory thesis is fundamentally an epistemological proposal, comparatively little of the philosophical literature has been dedicated to exploring the epistemological avenues through which emotions might be capable of delivering such an epistemic yield. Accordingly, the central purpose of this thesis is to provide a novel and thorough analysis of how emotional experience might be capable of playing this justificatory role. Here, I present and evaluate three broad models of emotional justification: emotional dogmatism, emotional reliabilism, and agent-based views. Emotional dogmatist views, I argue, fail in virtue of being vulnerable to over-generalisation worries and problematic commitments to the contents of emotional awareness. Emotional reliabilism, while possessing the resources to avoid some objections, is vulnerable to worrisome clairvoyance-style challenges which establish the insufficiency of emotional reliability for epistemic justification. Finally, having learned our lessons from the shortcomings of these views, I argue that an agent-based theory grounded in the development of learned emotional competences provides the most plausible account of how emotional experience can epistemically justify evaluative belief. This discussion, I believe, will both illuminate contemporary discussions of the justificatory thesis of emotion found in the literature, and provide novel insight into the epistemic capacities of the emotions. (shrink)

It's probably no secret to readers of this Journal that working in areas of frontier science can very easily test one's character and bring out the best and worst of human behavior. I mention this now because a few months ago the journal Studies in History and Philosophy of the Biological and Biomedical Sciences published a significant new issue (Volume 48, Part A). It contains a lengthy special section on psychical research, guest-edited by Andreas Sommer. I'll probably comment again about (...) this journal issue in later Editorials, but this time I want to focus on the first paper to catch my attention. Not surprisingly, I suppose, it was written by a philosopher, Ian James Kidd from Durham University, and it boasted the intriguing title, "Was Sir William Crookes epistemically virtuous?" (Kidd 2014). (shrink)

Current epistemological orthodoxy has it that knowledge is incompatible with luck. More precisely: Knowledge is incompatible with epistemic luck . This is often treated as a truism which is not even in need of argumentative support. In this paper, I argue that there is lucky knowledge. In the first part, I use an intuitive and not very developed notion of luck to show that there are cases of knowledge which are “lucky” in that sense. In the second part, I look (...) at philosophical conceptions of luck and come to the conclusion that knowledge can be lucky in those senses, too. I also turns out that a probabilistic notion of luck can help us see in what ways a particular piece of knowledge or belief can be lucky or not lucky. (shrink)