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)

The Generality Problem for process reliabilism is to outline a procedure for determining when two beliefs are produced by the same process, in such a way as to avoid, on the one hand, individuating process types so narrowly that each type is instantiated only once, or, on the other hand, individuating them so broadly that beliefs that have different epistemic statuses are subsumed under the same process type. In this paper, I offer a solution to the (...) class='Hi'>problem which takes belief‐independent processes to be functions that take as inputs information about distal states of affairs, and produce beliefs as outputs. Processes are individuated narrowly, so as to avoid the latter aspect of the Generality problem, but, by holding process tokens to be of the same type when they take perceptually equivalent scenes as inputs, and produce beliefs of the same kind as outputs, the former aspect of the problem is avoided too. Having argued that this method of typing process tokens solves the Generality Problem, I then argue that my solution does not fall prey to objections that have been, or might be, raised for similar proposals. (shrink)

This essay argues that certain cases involving what I shall term complexly based belief, where a belief is formed via complex inference to the best explanation, pose a serious difficulty for reliabilist theories of epistemic justification or warrant. Many of our most important beliefs appear to be of this character. The problem, in short, is that in such cases we cannot identify any belief-forming process type that is such as to yield an intuitively correct verdict on the epistemic status (...) of the agent’s belief. If this is correct, then no proposed solution to the generality problem can succeed. (shrink)

According to Intellectualism knowing how to V is a matter of knowing a suitable proposition about a way of V-ing. In this paper, I consider the question of which ways of acting might figure in the propositions which Intellectualists claim constitute the object of knowledge-how. I argue that Intellectualists face a version of the Generality Problem – familiar from discussions of Reliabilism – since not all ways of V-ing are such that knowledge about them suffices for knowledge-how. (...) I consider various responses to this problem, and argue that none are satisfactory. (shrink)

Vogel argues that sensitivity accounts of knowledge are implausible because they entail that we cannot have any higher-level knowledge that our beliefs are true, not false. Becker and Salerno object that Vogel is mistaken because he does not formalize higher-level beliefs adequately. They claim that if formalized correctly, higher-level beliefs are sensitive, and can therefore constitute knowledge. However, these accounts do not consider the belief-forming method as sensitivity accounts require. If we take bootstrapping as the belief-forming method, as the discussed (...) cases suggest, then we face a generality problem. Our higher-level beliefs as formalized by Becker and Salerno turn out to be sensitive according to a wide reading of bootstrapping, but insensitive according to a narrow reading. This particular generality problem does not arise for the alternative accounts of process reliabilism and basis-relative safety. Hence, sensitivity accounts not only deliver opposite results given different formalizations of higher-level beliefs, but also for the same formalization, depending on how we interpret bootstrapping. Therefore, sensitivity accounts do not fail because they make higher-level knowledge impossible, as Vogel argues, and they do not succeed in allowing higher-level knowledge, as Becker and Salerno suggest. Rather, their problem is that they deliver far too heterogeneous results. (shrink)

In “A well-founded solution to the generality problem,” Comesaña argues, inter alia, for three main claims. One is what I call the unavoidability claim: Any adequate epistemological theory needs to appeal, either implicitly or explicitly, to the notion of a belief’s being based on certain evidence. Another is what I call the legitimacy claim: It is perfectly legitimate to appeal to the basing relation in solving a problem for an epistemological theory. According to Comesaña, the legitimacy claim (...) follows straightforwardly from the unavoidability claim. The third one is what I call the basing solution claim: An appeal to the notion of basing relation is all we need to solve the generality problem for (process) reliabilism. In this paper, I will argue that the unavoidability claim and the basing solution claim are false and that the legitimacy claim might be true only in a qualified sense. (shrink)

The value problem for knowledge is the problem of explaining why knowledge is more valuable than mere true belief. The problem arises for reliabilism in particular, i.e., the externalist view that knowledge amounts to reliably acquired true belief. Goldman and Olsson argue that knowledge, in this sense, is more valuable than mere true belief due to the higher likelihood of future true beliefs (produced by the same reliable process) in the case of knowledge. They maintain that (...) their solution works given four empirical assumptions, which they claim hold “normally.” However, they do not show that their assumptions are externalistically acceptable; nor do they provide detailed evidence for their normality claim. We address these remaining gaps in Goldman and Olsson’s solution in a constructive spirit. In particular, we suggest an externalist interpretation of the assumptions such that they essentially spell out what it means for a broad range of organisms capable of belief-like representations to be epistemically adapted to their environment. Our investigation also sheds light on the circumstances in which the assumptions fail to hold and knowledge therefore fails to have extra value in Goldman and Olsson’s sense. The upshot is a deeper understanding of their solution as a contribution to naturalized epistemology and a strengthened case for its empirical validity. (shrink)

The No-Miracles Argument (NMA) is often used to support scientific realism. We can formulate this argument as an inference to the best explanation this accusation of circularity by appealing to reliabilism, an externalist epistemology. In this paper I argue that this retreat fails. Reliabilism suffers from a potentially devastating difficulty known as the Generality Problem and attempts to solve this problem require adopting both epistemic and metaphysical assumptions regarding local scientific theories. Although the externalist can (...) happily adopt the former, if he adopts the latter then the Generality Problem arises again, but now at the level of scientific methodology. Answering this new version of the Generality Problem is impossible for the scientific realist without making the important further assumption that there exists the possibility of a unique rule of Doing this however would make the NMA viciously premise circular. (shrink)

This paper aims to show that Selim Berker’s widely discussed prime number case is merely an instance of the well-known generality problem for process reliabilism and thus arguably not as interesting a case as one might have thought. Initially, Berker’s case is introduced and interpreted. Then the most recent response to the case from the literature is presented. Eventually, it is argued that Berker’s case is nothing but a straightforward consequence of the generality problem, i.e., (...) the problematic aspect of the case for process reliabilism (if any) is already captured by the generality problem. (shrink)

Epistemic luck has been the focus of much discussion recently. Perhaps the most general knowledge-precluding type is veritic luck, where a belief is true but might easily have been false. Veritic luck has two sources, and so eliminating it requires two distinct conditions for a theory of knowledge. I argue that, when one sets out those conditions properly, a solution to the generality problem for reliabilism emerges.

Reliabilist theories of knowledge face the “generality problem”; any token of a belief-forming processes instantiates types of different levels of generality, which can vary in reliability. I argue that we exploit this situation in epistemic evaluation; we appraise beliefs in different ways by adverting to reliability at different levels of generality. We can detect at least two distinct uses of reliability, which underlie different sorts of appraisals of beliefs and believers.

The generality problem is widely considered to be a devastating objection to reliabilist theories of justification. My goal in this paper is to argue that a version of the generality problem applies to all plausible theories of justification. Assume that any plausible theory must allow for the possibility of reflective justification—S's belief, B, is justified on the basis of S's knowledge that she arrived at B as a result of a highly (but not perfectly) reliable way (...) of reasoning, R. The generality problem applies to all cases of reflective justification: Given that is the product of a process-token that is an instance of indefinitely many belief-forming process-types (or BFPTs), why is the reliability of R, rather than the reliability of one of the indefinitely many other BFPTs, relevant to B's justificatory status? This form of the generality problem is restricted because it applies only to cases of reflective justification. But unless it is solved, the generality problem haunts all plausible theories of justification, not just reliabilist ones. (shrink)

Process-reliabilist analyses of justification and knowledge face the generality problem. Recent discussion of this problem turns on certain untested empirical assumptions that this paper investigates. Three experiments are reported: two are free-naming studies that support the existence of a basic level in the previously unexplored domain of names for belief-forming processes; the third demonstrates that reliability judgments for the basic-level belief-forming process types are very strongly correlated with the corresponding justification and knowledge judgments. I argue that these (...) results lend support to process-reliabilism; I then go on to explore several different ways to make use of them in solutions to the generality problem. (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)

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)

This paper addresses various solutions to Meno's Problem: Why is it that knowledge is more valuable than merely true belief? Given both a pragmatist as well as a veritist understanding of epistemic value, it is argued that a reliabilist analysis of knowledge, in general, promises a hopeful strategy to explain the extra value of knowledge. It is, however, shown that two recent attempts to solve Meno's Problem within reliabilism are severely flawed: Olsson's conditional probability solution and Goldman's (...) value autonomization solution. The paper proceeds with a discussion of the purpose of having a higher value of knowledge as opposed to merely true belief, both in evolutionary and social terms. It claims that under a reliabilist analysis of knowledge it can be explained how knowers could evolve rather than just truthful believers. Subsequently, the paper develops an account of how we can manipulate our testimonial environment in an epistemically beneficial way by valuing reliably produced true belief more that just true belief and so gives an indirect justification of the extra value of knowledge. (shrink)

The generality problem is one of the most pressing challenges for process reliabilism about justification. Thus far, one of the more promising responses is James Beebe’s tri-level statistical solution. Despite the initial plausibility of Beebe’s approach, the tri-level statistical solution has been shown to generate implausible justification verdicts on a variety of cases. Recently, Samuel Kampa has offered a new statistical solution to the generality problem. Kampa argues that the new statistical solution overcomes the challenges (...) that undermined Beebe’s original statistical solution. However, there’s good reason to believe that Kampa is mistaken. In this paper, I show that Kampa’s new statistical solution faces problems that are no less serious than the original objections to Beebe’s solution. Depending on how we interpret Kampa’s proposal, the new statistical solution either types belief-forming processes far too narrowly, or the new statistical solution fails to clarify the epistemic implications of reliabilism altogether. Either way, the new statistical solution fails to make substantive progress towards solving the generality problem. (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)

I present and motivate a new solution to the generality problem for reliabilism. I suggest that we shift our focus from process-types that can be characterized independently of a subject’s epistemic concerns to process-types that play important roles in the life of the epistemic agent. Once we do so, a simple, promising solution suggests itself: the C-Typing Thesis. According to the C-Typing Thesis, how an epistemic agent forms her degree of confidence in a believed proposition determines the (...) epistemically relevant type of belief-forming process for that belief. First I motivate this view generally, arguing that it satisfies important desiderata for a solution to the generality problem. Then I show that it makes the intuitively correct predictions for a wide range of cases. I also show how it can solve Brian Weatherson’s temporal generality problem, and, relatedly, Jonathan Vogel’s bootstrapping problem for reliabilism. The C-Typing Thesis is plausible not only because it makes correct predictions, but also because it does so in a way that responds to a common charge against reliabilism: that reliability is disconnected from our lives as epistemic inquirers. The C-Typing Thesis shows how epistemic agency can play a significant role in an externalist account of justification and knowledge. (shrink)

The traditional generality problem for process reliabilism concerns the difficulty in identifying each belief forming process with a particular kind of process. Thatidentification is necessary since individual belief forming processes are typically of many kinds, and those kinds may vary in reliability. I raise a new kind of generality problem, one which turns on the difficulty of identifying beliefs with processes by which they were formed. This problem arises because individual beliefs may be the (...) culmination of overlapping processes of distinct lengths, and these processes may differ in reliability. I illustrate the force of this problem with a discussion of recent work on the bootstrapping problem. (shrink)

Consider a simple form of process reliabilism: S is justified in believing that p if and only if S’s belief that p was formed through a reliable process. Such accounts are thought to face a counter-example in the form of defeaters. It seems possible that a belief might result from a reliable belief forming process and yet be unjustified because one possesses a defeater with respect to that belief. This counter-example is merely apparent. The problem of defeaters is (...) just a special case of the generality problem, i.e., the problem of determining which of the process types instantiated by a process token is relevant to determining that reliability of the process token. Drawing on similarities between cases that involve defeaters and cases that involve adverse local conditions, e.g., a white-out blizzard, I argue that any adequate solution to the generality problem for all cases that don’t involve defeaters will pick out an unreliable process type as relevant in cases that do involve defeaters. Thus, there is no sui generis problem of defeaters for simple process reliablism. (shrink)

What bothers people about reliabilism as a theory of justified belief? It has yet to be formulated adequately, but most philosophical theories have that problem. People seem to be bothered by the very idea of reliabilism, with its apparent disregard for believers’ rationality and responsibility. Yet its supporters can’t seem to understand its opponents complaints. I believe that the conflict can be clarified, if not resolved, by drawing certain important distinctions.

This chapter considers the present account to be a sufficient response to the generality problem as an objection that specifically targets reliabilism. It identifies the main challenge for reliabilism in relation to the typing of belief‐forming processes. The chapter focuses on insights in cognitive science in a way that should make this response attractive to practitioners of naturalized epistemology, including Goldman himself. The most stimulating part of Conee and Feldman's attack can charitably be viewed as targeting (...) the notion that the reliabilist concepts of knowledge and justification are sufficiently similar to their folk counterparts. The chapter focuses for simplicity on the reliabilist theory of justification (RJ) and on Conee and Feldman's criticism as targeting the faithfulness of RJ with regard to everyday concept of justification. For the purposes of neutralizing Conee and Feldman's central challenge it was sufficient to give a purely descriptive account of how people type belief‐forming processes. (shrink)

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)

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)

The generality problem is commonly considered to be a critical difficulty for reliabilism. In this paper, we present a dynamical perspective on the problem in the spirit of naturalized epistemology. According to this outlook, it is worth investigating how token belief-forming processes instantiate specific types in the biological agent’s cognitive architecture and background experience, consisting in the process of attractor-guided neural activation. While our discussion of the generality problem assigns “scientific types” to token processes, (...) it represents a unified account in the sense that it incorporates contextual and common sense features emphasized by other authors. (shrink)

Matthew Frise claims that reliabilist theories of justification have a temporality problem—the problem of providing a principled account of the temporal parameters of a process’s performance that determine whether that process is reliable at a given time. Frise considers a representative sample of principled temporal parameters and argues that there are serious problems with all of them. He concludes that the prospects for solving the temporality problem are bleak. Importantly, Frise argues that the temporality problem constitutes (...) a new reason to reject reliabilism. On this point, I argue that Frise is mistaken. There are serious interpretive difficulties with Frise’s argument. In this essay, I show that there are principled and reasonable temporal parameters for the reliabilist to adopt that successfully undermine the interpretations of Frise’s argument that only invoke plausible premises. There are interpretations of Frise’s argument that leave reliabilism without a clear parameter solution. However, I argue that these interpretations invoke controversial premises that are at best unmotivated, and at worst they merely re-raise older disputes about reliabilism. In any event, the temporality problem fails to constitute a new reason to reject reliabilism. (shrink)

Process reliabilism says that a belief is justified iff the belief-forming process that produced it is sufficiently reliable. But any token belief-forming process is an instance of a number of different belief-forming process types. The problem of specifying the relevant type is known as the ‘generality problem’ for process reliabilism. This paper proposes a broadly relativist solution to the generality problem. The thought is that the relevant belief-forming process type is relative to the (...) context. While the basic idea behind the solution is from Mark Heller (1995), the solution defended here departs from Heller on a crucial point. Because of this departure, my solution avoids a serious problem with Heller’s solution. (shrink)

Guided by the work of William Alston, Jonathan Adler and Michael Levin propose a solution to the generality problem for reliabilism. In some respects their proposal improves on those we have discussed. We argue that the problem remains unsolved.

Within the analytic tradition—especially under the influence of Frege’s anti-psychologism—the thought of incorporating empirical psychology into epistemology was definitely out of bounds. This began to change with the advent of “naturalistic” epistemology, in which Epistemology and Cognition played a role. However, there is no settled consensus as to how, exactly, empirical psychology or cognitive science should contribute to the epistemological enterprise. This is the topic to which the present paper is addressed. The discussion explores four topics or issues in contemporary (...) epistemology to which current research in psychology might make helpful contributions: the generality problem for reliabilism; algorithms and belief-forming processes; epistemology and the Bayesian theory of vision; and the rationality wars and dual-process systems. (shrink)

I review a familiar skeptical argument from Hume, and conclude that it requires us to accept that there is no necessary relation between beliefs about the world and their evidential grounds; that is, there is no logical or quasi-logical relation between empirical beliefs and their grounds, such that their grounds entail them, or even make them probable. I then argue that generic reliabilism can accommodate this fact about evidential grounds in a non-skeptical way. According to reliabilism, the grounds (...) for our beliefs constitute good evidence so long as they are contingently reliable. Next I argue that agent reliabilism successfully addresses two related problems for other versions of reliabilism: the fact that beliefs can be reliably formed by accident, and the need for subjective justification. Finally, I explain why agent reliabilism is properly conceived as a version of virtue epistemology. (shrink)

Resumen El objetivo de este trabajo es determinar la relevancia de la teoría informacional del conocimiento para el problema de la suerte epistémica. Argumento que el clásico enfoque de Dretske es equivalente a la condición de seguridad de Pritchard. Sin embargo, considero que esta manera de eludir la suerte epistémica exige lidiar con el llamado "problema de la generalidad". Argumento que una respuesta a este problema requiere una noción de seguridad diferente y propongo un enfoque informacional equivalente a esta versión (...) del requisito. Concluyo que este enfoque es preferible a la condición de seguridad propuesta porque desvela relaciones conceptuales entre los elementos que constituyen el conocimiento.The aim of this paper is to determine the relevance of an informational theory of knowledge to address recently discussed epistemic problems. I argue that Dretske's classical approach is equivalent to the safety condition proposed by Pritchard to avoid epistemic luck. However, I claim that Pritchard's condition has to be modified to avoid the so-called "generality problem" for reliabilism. I propose an alternative version of the requirement to deal with these problems and provide an equivalent informational condition. I conclude that this informational version is preferable since it reveals conceptual relationships between the constituents of knowledge. (shrink)

Knowledge has almost always been treated as good, better than mere true belief, but it is remarkably difficult to explain what it is about knowledge that makes it better. I call this “the value problem.” I have previously argued that most forms of reliabilism cannot handle the value problem. In this article I argue that the value problem is more general than a problem for reliabilism, infecting a host of different theories, including some that (...) are internalist. An additional problem is that not all instances of true belief seem to be good on balance, so even if a given instance of knowing p is better than merely truly believing p, not all instances of knowing will be good enough to explain why knowledge has received so much attention in the history of philosophy. The article aims to answer two questions: What makes knowingp better than merely truly believing p? The answer involves an exploration of the connection between believing and the agency of the knower. Knowing is an act in which the knower gets credit for achieving truth. What makes some instances of knowing good enough to make the investigation of knowledge worthy of so much attention? The answer involves the connection between the good of believing truths of certain kinds and a good life. In the best kinds of knowing, the knower not only gets credit for getting the truth but also gets credit for getting a desirable truth. The kind of value that makes knowledge a fitting object of extensive philosophical inquiry is not independent of moral value and the wider values of a good life. (shrink)

Process reliabilist accounts claim that a belief is justified when it is the result of a reliable belief-forming process. Yet over what range of possible token processes is this reliability calculated? I argue against the idea that _all_ possible token processes (in the actual world, or some other subset of possible worlds) are to be considered using the case of a user acquiring beliefs based on the output of an AI system, which is typically reliable for a substantial local range (...) but unreliable when all possible inputs are considered. I show that existing solutions to the generality problem imply that these cases cannot be solved by a more fine-grained typing of the belief-forming process. Instead, I suggest that reliability is evaluated over a range restricted by the content of the actual belief and by the similarity of the input to the actual input. (shrink)

According to process reliabilism, a belief produced by a reliable belief-forming process is justified. I introduce problems for this theory on any account of reliability. Does the performance of a process in some domain of worlds settle its reliability? The theories that answer “Yes” typically fail to state the temporal parameters of this performance. I argue that any theory paired with any plausible parameters has implausible implications. The theories that answer “No,” I argue, thereby lack essential support and exacerbate (...) familiar problems. There are new reasons to avoid any reliability conditions on justification. (shrink)

Resumen El objetivo de este trabajo es determinar la relevancia de la teoría informacional del conocimiento para el problema de la suerte epistémica. Argumento que el clásico enfoque de Dretske es equivalente a la condición de seguridad de Pritchard. Sin embargo, considero que esta manera de eludir la suerte epistémica exige lidiar con el llamado "problema de la generalidad". Argumento que una respuesta a este problema requiere una noción de seguridad diferente y propongo un enfoque informacional equivalente a esta versión (...) del requisito. Concluyo que este enfoque es preferible a la condición de seguridad propuesta porque desvela relaciones conceptuales entre los elementos que constituyen el conocimiento.The aim of this paper is to determine the relevance of an informational theory of knowledge to address recently discussed epistemic problems. I argue that Dretske's classical approach is equivalent to the safety condition proposed by Pritchard to avoid epistemic luck. However, I claim that Pritchard's condition has to be modified to avoid the so-called "generality problem" for reliabilism. I propose an alternative version of the requirement to deal with these problems and provide an equivalent informational condition. I conclude that this informational version is preferable since it reveals conceptual relationships between the constituents of knowledge. (shrink)

For most of their respective existences, reliabilism and evidentialism (that is, process reliabilism and mentalist evidentialism) have been rivals. They are generally viewed as incompatible, even antithetical, theories of justification.1 But a few people are beginning to re-think this notion. Perhaps an ideal theory would be a hybrid of the two, combining the best elements of each theory. Juan Comesana (forthcoming) takes this point of view and constructs a position called “Evidentialist Reliabilism.” He tries to show how (...) each theory can profit by borrowing elements from the other. Comesana concentrates on reliabilism’s problems and how it might be improved by infusions from evidentialism. This paper follows a similar tack. My emphasis, however, is the reverse of Comesana’s. I highlight problems for evidentialism and show how it could benefit by incorporating reliabilist themes. I am not sanguine that evidentialists will see it my way. They might even view my proposals as an insidious attempt to convert evidentialists to reliabilism. Well, I won’t debate the best way to formulate this paper’s recipe. At any rate, it began with the idea (which anteceded my reading of Comesana) of creating a synthesis of reliabilism and evidentialism. It retains significant strands of that idea, although the synthesis theme does not pervade the entire paper. What is mentalist evidentialism? Its original formulation was succinct. (shrink)

In this paper, I present a solution to the problem that the need to accommodate the phenomenon of epistemic defeat poses for reliabilism. Defeaters are supposed to remove justification for previously justified beliefs. According to standard process reliabilism, the justification of a belief depends on the reliability of a process that is already completed when a defeater for that belief is obtained. It is hard to see, then, how a defeater can affect reliabilist justification, if that justification, (...) from the perspective of the defeater, lies wholly in the past. What is more, undercutting defeaters plausibly defeat by generating incompatibilities with higher-order propositions :105–118, 2014; Melis in Philos Stud 170:433–442, 2014). This is hard to integrate with reliabilism which explicitly denies higher-order conditions for justification. I argue that both of these phenomena can be accommodated by it via what I call the “Replacement Principle”: when a defeater is obtained, it generates either a logical incompatibility or a doxastic incompatibility. The resulting tension is registered and initiates a reasoning process that compares the epistemic support for the defeater with that for the defeated belief. This process may replace the original reliable formation process as a doxastic base for the defeated belief. If the defeater is not given its due weight in the reasoning process, that process was unreliable and if the defeated belief is retained as a result, it will be unjustified. This is intuitively the right result. Since reasoning is reliable, only if it is rational, the account manages to capture the intuition that disregarding a defeater would be irrational without having to make rationality a condition for justification. Replacement is not only plausible on causal pictures of doxastic basing, but also required in order to allow for the possibility of belief reevaluation in general and is therefore not an ad hoc addition to reliabilism, but rather part of its inherent explanatory resources. (shrink)

I distinguish between three kinds of reliabilism for epistemic justification, namely, pure reliabilism, evidential reliabilism, and reasons reliabilism, and I argue for reasons reliabilism. Pure reliabilism and evidential reliabilism are plagued, most importantly, by the generality problem, and they cannot deal adequately with defeater phenomena. One can avoid these problems only by jettisoning the idea of process reliability. The truth connection ? which is essential for any kind of reliabilism ? (...) has to be provided in an altogether different way, namely, by means of facts in the world which serve as objective reasons (or evidence). So, as reasons reliabilism says, a justified belief has to be anchored in an objective reason which speaks in favor of its truth. Only in this way can intuitions about defeaters be preserved and explained. And reasons reliabilism can avoid the generality problem. (shrink)

The new evil demon problem amounts to a difficult challenge for the externalist about epistemic justification. Many solutions to the problem have been proffered in the almost 40 years since its first appearance in the literature. Among the more promising responses is indexical reliabilism, a combination of two versions of actual world reliabilism where “actual” denotes either the world of utterance or a rigidly determined actual world. This paper does three things. First, it attempts to clarify (...) indexical reliabilism and how it purports to solve the new evil demon problem. Second, it attempts to mitigate some of the prominent criticism that has been leveled against the theory. Third, it poses an explanatory challenge for the theory which remains even after all of the premises supporting indexical reliabilism are accepted. The conclusion is that indexical reliabilism is not tenable until a linguistic mechanism for the use of “actually reliable” has been offered that explains how the theory avoids collapsing into a two-concepts response to the new evil demon problem. (shrink)

The value problem for knowledge is the problem of explaining why knowledge is cognitively more valuable than mere true belief. If an account of the nature of knowledge is unable to solve the value problem for knowledge, this provides a pro tanto reason to reject that account. Recent literature argues that process reliabilism is unable to solve the value problem because it succumbs to an objection known as the swamping objection. Virtue reliabilism (i.e., agent (...) reliabilism), on the other hand, is able to solve the value problem because it can avoid the swamping objection. I argue that virtue reliabilism escapes the swamping objection only by employing what I call an entailment strategy. Furthermore, since an entailment strategy is open to the process reliabilist (in two different forms), I argue that the process reliabilist is also able to escape the swamping objection and thereby solve the value problem for knowledge. (shrink)

Virtue reliabilism appears to have a major advantage over generic reliabilism: only the former has the resources to explain the intuition that knowledge is more valuable than mere true belief. I argue that this appearance is illusory. It is sustained only by the misguided assumption that a principled distinction can be drawn between those belief-forming methods that are grounded in the agent’s intellectual virtues, and those that are not. A further problem for virtue reliabilism is that (...) of explaining why knowledge is more valuable than mere justified true belief. I argue that virtue reliabilism lacks the resources to explain this value difference. I conclude by considering what it would take for a theory to explain the extra value of knowledge over mere justified true belief. (shrink)

According to reliabilist virtue epistemology, or virtue reliabilism, knowledge is true belief that is produced by intellectual excellence (or virtue), where intellectual excellence is understood in terms of reliable, truth-directed cognitive dispositions. This essay explains why virtue reliabilism is a form of epistemological externalism, is a moderately naturalized epistemology, and is distinct from virtue responsibilism. We explain virtue reliabilism’s answers to various forms of skepticism, its solution to the Gettier Problem, and its explanation of the value (...) of knowledge. We also describe several varieties of contemporary virtue reliabilism. Finally, we offer replies to two recently prominent objections to virtue reliabilism: that it is committed to an untenable epistemological individualism, and that there are empirical reasons to doubt whether people generally have the kinds of intellectual abilities that virtue reliabilism requires for knowledge. (shrink)

Reliability theories of epistemic justification face three main objections: the generality problem, the demon-world (or brain-in-a-vat) counterexample, and the clairvoyant-powers counterexample. In Perception and Basic Beliefs(Oxford 2009), Jack Lyons defends reliabilism at length against the clairvoyant powers case. He argues that the problem arises due to a laxity about the category of basic beliefs, and the difference between inferential and non-inferential justification. Lyons argues reliabilists must pay more attention to architecture. I argue this isn’t necessarily so. (...) What really matters for understanding and solving the case involves paying closer attention to the origins of our belief forming capacities, both inferential and non-inferential. Reliabilists should make origins matter more. (shrink)

It can often be heard in the hallways, and occasionally read in print, that reliabilism runs into special trouble regarding lottery cases. My main aim in this paper is to argue that this is not so. Nevertheless, lottery cases do force us to pay close attention to the relation between justification and probability.

This paper has two goals. First, it aims to investigate the empirical assumptions of a recent proposal due to Olsson (forthcoming), according to which the generality problem for process-reliabilism can be approached by recruiting patterns and models from the basic-level research in cognitive psychology. Second, the paper attempts to generalize findings in the basic-level literature pertaining to concrete nouns to the abstract verbs that denote belief-forming processes. I will demonstrate that verbs for belief-forming processes exhibit the kind (...) of linguistic convergence that is characteristic of basic-level words, although these words are not neatly taxonomically organized or associated with large feature sets. Next, I will evaluate and partially validate Olsson's proposal in light of these findings. I will provide some discussion of possible explanations of the results are discussed, as well as the impact these results have for structural models of basic-level advantage, and for the feasibility of the explanatory strategy that these models presuppose. Finally, I will conclude that even though no particular model is compromised by these results, they call into question the underlying explanatory strategy by highlighting its parochial nature. (shrink)

I argue against mnemic reliabilism, an influential view that successful remembering must be produced by a reliable memory process. Drawing on empirical evidence from psychology and neuroscience, I refute mnemic reliabilism by demonstrating that: (1) patients with memory impairments (e.g., Alzheimer’s disease) can also successfully remember the past despite the unreliability of their corresponding memory processes; (2) some reliability-affecting factors (e.g., stress, divided attention, and insufficient encoding time) can render the memory processes of healthy individuals unreliable without preventing (...) them from occasionally resulting in successful remembering. Potential responses available for mnemic reliabilism are also evaluated. I show that those responses are susceptible to a challenge akin to the generality problem for process reliabilism. (shrink)

Process reliabilism is a theory about ex post justification, the justification of a doxastic attitude one has, such as belief. It says roughly that a justified belief is a belief formed by a reliable process. It is not a theory about ex ante justification, one’s justification for having a particular attitude toward a proposition, an attitude one might lack. But many reliabilists supplement their theory such that it explains ex ante justification in terms of reliable processes. In this paper (...) I argue that the main way reliabilists supplement their theory fails. In the absence of an alternative, reliabilism does not account for ex ante justification. (shrink)