In this paper, I aim to develop a novel virtue reliabilist account of justified belief, which incorporates insights from both process reliabilism and extant versions of virtue reliabilism. Like extant virtue reliabilist accounts of justi- fied belief, the proposed view takes it that justified belief is a kind of competent performance and that competent performances require reliable agent abilities. However, unlike extant versions of virtue reliabilism, the view takes abilities to essentially involve reliable processes. In this way, the proposed takes (...) a leaf from process reliabilism. Finally, I will provide reason to believe that the view compares favourably with both extant versions of virtue reliabilism and process reliabilism. In particular, I will show that in taking abilities to essentially involve reliable processes, the view has an edge over extant versions of virtue reliabilism. Moreover, I will argue that the proposed view can either solve or defuse a number of classical problems of process reliabilism, including the new evil demon problem, the problem of clairvoyant cases and the generality problem. (shrink)

The generality problem is commonly seen as one of the most pressing issues for process reliabilism. The generality problem starts with the following question: of all the process types exemplified by a given process token, which type is the relevant one for measuring reliability? Defenders of the generality problem claim that process reliabilists have a burden to produce an informative account of process type relevance. As they argue, without such a successful account, the reasonability of process reliabilism is significantly undermined. (...) One way for the reliabilist to respond is to attempt to construct such a theory of type relevance. But another way of responding is to argue that, if finding an account of type relevance is a burden for the reliabilist, then it is also a burden for everyone else. Thus, the generality problem doesn’t present some unique reason to reject process reliabilism. I call this latter strategy a parrying response. In this essay, I examine the contemporary parrying responses of Michael Bishop and Juan Comesaña, which have both faced recent criticism. I respond to these critics, and argue that parrying responses are far stronger than defenders of the generality problem have appreciated. (shrink)

I challenge a cornerstone of the Gettier debate: that a proposed analysis of the concept of knowledge is inadequate unless it entails that people don’t know in Gettier cases. I do so from the perspective of Carnap’s methodology of explication. It turns out that the Gettier problem per se is not a fatal problem for any account of knowledge, thus understood. It all depends on how the account fares regarding other putative counter examples and the further Carnapian desiderata of exactness, (...) fruitfulness and simplicity. Carnap proposed his methodology more than a decade before Gettier’s seminal paper appeared, making the present solution to the problem a candidate for being the least ad hoc proposal on the market, one whose independent standing cannot be questioned, among solutions that depart from the usual method of revising a theory of knowledge in the light of counterexamples. As an illustration of the method at work, I reconstruct reliabilism as an attempt to provide an explication of the concept of knowledge. (shrink)

The questions ‘Do I know p?’ and ‘shall I take p as a reason to act?’ seem to belong to different domains — or so claims Ernest Sosa in his Judgment and Agency, the latest version of his virtue epistemology. According to Sosa, we may formulate the first question in a purely epistemological way — a matter of knowledge “full stop” —, while the second one is necessarily intruded by pragmatic factors — a matter of “actionable knowledge”. Both should be (...) answered, in his view, considering the reliability of my belief, but the former could be faced in total abstraction from my personal practical concerns. In this paper I dispute Sosa’s view, and claim that no purely epistemic level of knowledge “full stop” is conceivable, at least within a reliabilist framework. A case is put forward in order to show that some given belief may not be considered as reliable by itself, as a token, but always as a member of a type, belonging to some class of reference of other beliefs. And the relevant class of reference may only be chosen considering personal practical interests. (shrink)

Discrimination is a central epistemic capacity but typically, theories of discrimination only use discrimination as a vehicle for analyzing knowledge. This paper aims at developing a self-contained theory of discrimination. Internalist theories of discrimination fail since there is no compelling correlation between discriminatory capacities and experiences. Moreover, statistical reliabilist theories are also flawed. Only a modal theory of discrimination is promising. Versions of sensitivity and adherence that take particular alternatives into account provide necessary and sufficient conditions on discrimination. Safety in (...) contrast is not sufficient for discrimination as there are cases of safety that are clearly instances of discrimination failure. The developed account of discrimination between objects will be extended to discrimination between kinds and between types. (shrink)

The generality problem is perhaps the most notorious problem for process reliabilism. Several recent responses to the generality problem have claimed that the problem has been unfairly leveled against reliabilists. In particular, these responses have claimed that the generality problem is either (i) just as much of a problem for evidentialists, or (ii) if it is not, then a parallel solution is available to reliabilists. Along these lines, Juan Comesaña has recently proposed solution to the generality problem—well-founded reliabilism. According to (...) Comesaña, the solution to the generality problem lies in solving the basing problem, such that any solution to the basing problem will give a solution to the generality problem. Comesaña utilizes Conee and Feldman’s evidentialist account of basing (Conee and Feldman’s well-foundedness principle) in forming his version of reliabilism. In this paper I show that Comesaña’s proposed solution to the generality problem is inadequate. Well-founded reliabilism both fails to solve the generality problem and subjects reliabilism to new damning verdicts. In addition, I show that evidentialism does not face any parallel problems, so the generality problem remains a reason to prefer evidentialism to reliabilism. (shrink)

The paper offers a solution to the generality problem for a reliabilist epistemology, by developing an “algorithm and parameters” scheme for type-individuating cognitive processes. Algorithms are detailed procedures for mapping inputs to outputs. Parameters are psychological variables that systematically affect processing. The relevant process type for a given token is given by the complete algorithmic characterization of the token, along with the values of all the causally relevant parameters. The typing that results is far removed from the typings of folk (...) psychology, and from much of the epistemology literature. But it is principled and empirically grounded, and shows good prospects for yielding the desired epistemological verdicts. The paper articulates and elaborates the theory, drawing out some of its consequences. Toward the end, the fleshed-out theory is applied to two important case studies: hallucination and cognitive penetration of perception. (shrink)

When appraising research papers, how much understanding is enough? More specifically, in deciding whether research results can inform practice, do appraisers need to substantively understand how findings are derived or is it sufficient simply to grasp that suitable analytic techniques were chosen and used by researchers? The degree or depth of understanding that research appraisers need to attain before findings can legitimately/sensibly inform practice is underexplored. In this paper it is argued that, where knowledge/justified beliefs derived from research evidence prompt (...) actions that materially affect patient care, appraisers have an epistemic duty to demand high (maximal) rather than low (minimal) levels of understanding regards finding derivation (i.e. appraisers have a duty to seek a superior epistemic situation). If this argument holds assumptions about appraiser competence/ability and the feasibility of current UK conceptions of evidence based practice are destabilized. (shrink)

Abduction, deduction and induction describe forms of reasoning. Deduction and induction are discussed in the nursing literature. However, abduction has been largely neglected by nurse scholars. In this paper it is proposed that abduction may play a part in qualitative data analysis – specifically, in the identification of themes, codes, and categories. Abduction is not, in research, restricted to or associated with any particular methodology. Nevertheless, situating abduction in qualitative research facilitates the identification of three interlinked issues. First, it is (...) suggested that abductively derived claims require support from deductive and inductively sourced evidence if they are to ‘hold’ and, yet, in qualitative research this is clearly problematic. Second, difficulties in choosing between alternative plausible hypotheses are explored through an examination of the ‘generality problem’. Third, the role of background and auxiliary theories in adjudicating between hypothesis options is discussed. It is argued that if qualitative researchers utilize abductive inference in the manner suggested, then the peculiarly fallible nature of abduction must be acknowledged and, in consequence, the action guiding potential of qualitative research findings is compromised. (shrink)

Several anti-debunkers have argued that evolutionary explanations of our moral beliefs fail to meet a necessary condition on undermining defeat called modal security. They conclude that evolution, therefore, does not debunk our moral beliefs. This article shows that modal security is false if knowledge is virtuous achievement. New information can undermine a given belief without providing reason to doubt that that belief is sensitive or safe. This leads to a novel conception of undermining defeat, and it shows that successful debunking (...) of moral realism is possible. (shrink)

The generality problem is usually taken to arise only for externalist theories of knowledge or justification. In this paper, first, I argue that even internalist theories run afoul of a variant of the generality problem. This is because S may have multiple pieces of evidence concerning the reliability of the token process by which S forms the belief in question, and they determine the degree of Sʼs internalist justification differently. Second, I offer a solution to the generality problem for internalist (...) theories: Sʼs practical reason rather than epistemic reason picks out a piece of evidence concerning reliability as relevant. (shrink)

The Generality Problem is widely recognized to be a serious problem for reliabilist theories of justification. James R. Beebe's Statistical Solution is one of only a handful of attempted solutions that has garnered serious attention in the literature. In their recent response to Beebe, Julien Dutant and Erik J. Olsson successfully refute Beebe's Statistical Solution. This paper presents a New Statistical Solution that countenances Dutant and Olsson's objections, dodges the serious problems that trouble rival solutions, and retains the theoretical virtues (...) that made Beebe's solution so attractive in the first place. There indeed exists a principled, rigorous, conceptually sparse, and plausible solution to the Generality Problem: it is the New Statistical Solution. (shrink)

Reliabilism is an intuitive and attractive view about epistemic justification. However, it has many well-known problems. I offer a novel condition on reliabilist theories of justification. This method coherence condition requires that a method be appropriately tested by appeal to a subject’s other belief-forming methods. Adding this condition to reliabilism provides a solution to epistemic circularity worries, including the bootstrapping problem.

This article is concerned with a statistical proposal due to James R. Beebe for how to solve the generality problem for process reliabilism. The proposal is highlighted by Alvin I. Goldman as an interesting candidate solution. However, Goldman raises the worry that the proposal may not always yield a determinate result. We address this worry by proving a dilemma: either the statistical approach does not yield a determinate result or it leads to trivialization, i.e. reliability collapses into truth (and anti-reliability (...) into falsehood). Various strategies for avoiding this predicament are considered, including revising the statistical rule or restricting its application to natural kinds. All amendments are seen to have serious problems of their own. We conclude that reliabilists need to look elsewhere for a convincing solution to the generality problem. (shrink)

What is knowledge? I this paper I defend the claim that knowledge is justified true belief by arguing that, contrary to common belief, Gettier cases do not refute it. My defence will be of the anti-luck kind: I will argue that (1) Gettier cases necessarily involve veritic luck, and (2) that a plausible version of reliabilism excludes veritic luck. There is thus a prominent and plausible account of justification according to which Gettier cases do not feature justified beliefs, and therefore, (...) do not present counterexamples to the tripartite analysis. I defend the account of justification against objections, and contrast my defence of the tripartite analysis to similar ones from the literature. I close by considering some implications of this way of thinking about justification and knowledge. (shrink)

In “Why the generality problem is everybody’s problem,” Michael Bishop argues that every theory of justification needs a solution to the generality problem. He contends that a solution is needed in order for any theory to be used in giving an acceptable account of the justificatory status of beliefs in certain examples. In response, first I will describe the generality problem that is specific to process reliabilism and two other sorts of problems that are essentially the same. Then I will (...) argue that the examples that Bishop presents pose no such problem for some theories. I will illustrate the exempt theories by describing how an evidentialist view can account for the justification in the examples without having any similar problem. It will be clear that other views about justification are likewise unaffected by anything like the generality problem. (shrink)

Modal Security is an increasingly discussed proposed necessary condition on undermining defeat. Modal Security says, roughly, that if evidence undermines (rather than rebuts) one’s belief, then one gets reason to doubt the belief's safety or sensitivity. The primary interest of the principle is that it seems to entail that influential epistemological arguments, including Evolutionary Debunking Arguments against moral realism and the Benacerraf-Field Challenge for mathematical realism, are unsound. The purpose of this paper is to critically examine Modal Security in detail. (...) We develop and discuss what we take to be the strongest objections to the principle. One of the aims of the paper is to expose the weakness of these objections. Another is to reveal how the debate over Modal Security interacts with core problems in epistemology — including the generality problem, and the distinction between direct and indirect evidence. (shrink)

Epistemically circular arguments have been receiving quite a bit of attention in the literature for the past decade or so. Often the goal is to determine whether reliabilists (or other foundationalists) are committed to the legitimacy of epistemically circular arguments. It is often assumed that epistemic circularity is objectionable, though sometimes reliabilists accept that their position entails the legitimacy of some epistemically circular arguments, and then go on to affirm that such arguments really are good ones. My goal in this (...) paper is to argue against the legitimacy of epistemically circular arguments. My strategy is to give a direct argument against the legitimacy of epistemically circular arguments, which rests on a principle of basis-relative safety, and then to argue that reliabilists do not have the resources to resist the argument. I argue that even if the premises of an epistemically circular argument enjoy reliabilist justification, the argument does not transmit that justification to its conclusion. The main goal of my argument is to show that epistemic circularity is always a bad thing, but it also has the positive consequence that reliabilists are freed from an awkward commitment to the legitimacy of some intuitively bad arguments. (shrink)

I argue racial injustice undermines the reliability of news source reports in the information domain of racial injustice. I argue that this in turn undermines subjects’ doxastic justification in inferences they base on these news sources in the racial injustice information domain. I explain that racial injustice does this undermining through the effect of racial prejudice on news organizations’ members and the effect of society's racially unjust structure on non-dominant racial group-controlled news sources.

I develop an interdisciplinary framework for understanding the nature of agents and agency that is compatible with recent developments in the metaphysics of science and that also does justice to the mechanistic and normative characteristics of agents and agency as they are understood in moral philosophy, social psychology, neuroscience, robotics, and economics. The framework I develop is internal perspectivalist. That is to say, it counts agents as real in a perspective-dependent way, but not in a way that depends on an (...) external perspective. Whether or not something counts as an agent depends on whether it is able to have a certain kind of perspective. My approach differs from many others by treating possession of a perspective as more basic than the possession of agency, representational content/vehicles, cognition, intentions, goals, concepts, or mental or psychological states; these latter capabilities require the former, not the other way around. I explain what it means for a system to be able to have a perspective at all, beginning with simple cases in biology, and show how self-contained normative perspectives about proper function and control can emerge from mechanisms with relatively simple dynamics. I then describe how increasingly complex control architectures can become organized that allow for more complex perspectives that approach agency. Next, I provide my own account of the kind of perspective that is necessary for agency itself, the goal being to provide a reference against which other accounts can be compared. Finally, I introduce a crucial distinction that is necessary for understanding human agency: that between inclinational and committal agency, and venture a hypothesis about how the normative perspective underlying committal agency might be mechanistically realized. (shrink)

How do agents with limited cognitive capacities flourish in informationally impoverished or unexpected circumstances? Aristotle argued that human flourishing emerged from knowing about the world and our place within it. If he is right, then the virtuous processes that produce knowledge, best explain flourishing. Influenced by Aristotle, virtue epistemology defends an analysis of knowledge where beliefs are evaluated for their truth and the intellectual virtue or competences relied on in their creation. However, human flourishing may emerge from how degrees of (...) ignorance are managed in an uncertain world. Perhaps decision-making in the shadow of knowledge best explains human wellbeing—a Bayesian approach? In this dissertation I argue that a hybrid of virtue and Bayesian epistemologies explains human flourishing—what I term homeostatic epistemology. Homeostatic epistemology supposes that an agent has a rational credence p when p is the product of reliable processes aligned with the norms of probability theory; whereas an agent knows that p when a rational credence p is the product of reliable processes such that: 1) p meets some relevant threshold for belief, 2) p coheres with a satisficing set of relevant beliefs and, 3) the relevant set of beliefs is coordinated appropriately to meet the integrated aims of the agent. Homeostatic epistemology recognizes that justificatory relationships between beliefs are constantly changing to combat uncertainties and to take advantage of predictable circumstances. Contrary to holism, justification is built up and broken down across limited sets like the anabolic and catabolic processes that maintain homeostasis in the cells, organs and systems of the body. It is the coordination of choristic sets of reliably produced beliefs that create the greatest flourishing given the limitations inherent in the situated agent. (shrink)