Testimony is an invaluable source of knowledge. We rely on the reports of those around us for everything from the ingredients in our food and medicine to the identity of our family members. Recent years have seen an explosion of interest in the epistemology of testimony. Despite the multitude of views offered, a single thesis is nearly universally accepted: testimonial knowledge is acquired through the process of transmission from speaker to hearer. In this book, Jennifer Lackey shows that this thesis (...) is false and, hence, that the literature on testimony has been shaped at its core by a view that is fundamentally misguided. She then defends a detailed alternative to this conception of testimony: whereas the views currently dominant focus on the epistemic status of what speakers believe, Lackey advances a theory that instead centers on what speakers say. The upshot is that, strictly speaking, we do not learn from one another's beliefs - we learn from one another's words. Once this shift in focus is in place, Lackey goes on to argue that, though positive reasons are necessary for testimonial knowledge, testimony itself is an irreducible epistemic source. This leads to the development of a theory that gives proper credence to testimony's epistemologically dual nature: both the speaker and the hearer must make a positive epistemic contribution to testimonial knowledge. The resulting view not only reveals that testimony has the capacity to generate knowledge, but it also gives appropriate weight to our nature as both socially indebted and individually rational creatures. The approach found in this book will, then, represent a radical departure from the views currently dominating the epistemology of testimony, and thus is intended to reshape our understanding of the deep and ubiquitous reliance we have on the testimony of those around us. (shrink)

A widely accepted view in recent work in epistemology is that knowledge is a cognitive achievement that is properly creditable to those subjects who possess it. More precisely, according to the Credit View of Knowledge, if S knows that p, then S deserves credit for truly believing that p. In spite of its intuitive appeal and explanatory power, I have elsewhere argued that the Credit View is false. Various responses have been offered to my argument and I here consider each (...) of these objections in turn. I show that none succeeds in undermining my argument and, thus, my original conclusion stands—the Credit View of Knowledge is false. (shrink)

Knowledge and its Limits presents a systematic new conception of knowledge as a kind of mental stage sensitive to the knower's environment. It makes a major contribution to the debate between externalist and internalist philosophies of mind, and breaks radically with the epistemological tradition of analyzing knowledge in terms of true belief. The theory casts new light on such philosophical problems as scepticism, evidence, probability and assertion, realism and anti-realism, and the limits of what can be known. The arguments are (...) illustrated by rigorous models based on epistemic logic and probability theory. The result is a new way of doing epistemology and a notable contribution to the philosophy of mind. (shrink)

Knowledge is a highly valued state in which a person is in cognitive contact with reality. It is, therefore, a relation. On one side of the relation is a conscious subject, and on the other side is a portion of reality to which the knower is directly or indirectly related. While directness is a matter of degree, it is convenient to think of knowledge of things as a direct form of knowledge in comparison to which knowledge about things is indirect. (...) The former has often been called knowledge by acquaintance since the subject is in experiential contact with the portion of reality known, whereas the latter is propositional knowledge since what the subject knows is a true proposition about the world. Knowing Roger is an example of knowledge by acquaintance, while knowing that Roger is a philosopher is an example of propositional knowledge. Knowledge by acquaintance includes not only knowledge of persons and things, but also knowledge of my own mental states. In fact, the knower's own mental states are often thought to be the most directly knowable portion of reality. (shrink)

One of the key supposed 'platitudes' of contemporary epistemology is the claim that knowledge excludes luck. One can see the attraction of such a claim, in that knowledge is something that one can take credit for - it is an achievement of sorts - and yet luck undermines genuine achievement. The problem, however, is that luck seems to be an all-pervasive feature of our epistemic enterprises, which tempts us to think that either scepticism is true and that we don't know (...) very much, or else that luck is compatible with knowledge after all. In this book, Duncan Pritchard argues that we do not need to choose between these two austere alternatives, since a closer examination of what is involved in the notion of epistemic luck reveals varieties of luck that are compatible with knowledge possession and varieties that aren't. Moreover, Pritchard shows that a more nuanced understanding of the relationship between luck and knowledge can cast light on many of the most central topics in contemporary epistemology. These topics include: the externalism/internalism distinction; virtue epistemology; the problem of scepticism; metaepistemological scepticism; modal epistemology; and the problem of moral luck. All epistemologists will need to come to terms with Pritchard's original and incisive contribution. (shrink)

Mathematical apriorism holds that mathematical truths must be established using a priori processes. Against this, it has been argued that apparently a priori mathematical processes can, under certain circumstances, fail to warrant the beliefs they produce; this shows that these warrants depend on contingent features of the contexts in which they are used. They thus cannot be a priori. -/- In this paper I develop a position that combines a reliabilist version of mathematical apriorism with a platonistic view of mathematical (...) ontology. I argue that this view both withstands the above objection and explains the reliability of a priori mathematical warrant. (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 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)

The lottery problem is often regarded as a successful counterexample to reliabilism. The process of forming your true belief that your ticket has lost solely on the basis of considering the odds is, from a purely probabilistic viewpoint, much more reliable than the process of forming a true belief that you have lost by reading the results in a normally reliable newspaper. Reliabilism thus seems forced, counterintuitively, to count the former process as knowledge if it so counts the latter process. (...) -/- I offer a theory of empirical knowledge which, while being recognizably reliabilist, restricts empirical knowledge to cases in which the fact that p and the belief that p are causally connected. I show that this form of reliabilism solves the lottery problem, avoids the problems that beset the causal theory of knowledge, and show how it handles a number of problematic cases in the recent literature. (shrink)

Examples cited by Feldman, Lehrer and others of true beliefs that are justified, but not by false lemmas, turn out under scrutiny to involve false lemmas after all. In each case there is an EG inference whose conclusion is unwarranted unless its base instance is false. A shift to non-deductive justification does not avert the difficulty. The relation of this result to non-inferential Gettier cases is suggested.

A view of knowledge—what I call the "Deserving Credit View of Knowledge" —found in much of the recent epistemological literature, particularly among so-called virtue epistemologists, centres around the thesis that knowledge is something for which a subject deserves credit. Indeed, this is said to be the central difference between those true beliefs that qualify as knowledge and those that are true merely by luck—the former, unlike the latter, are achievements of the subject and are thereby creditable to her. Moreover, it (...) is often further noted that deserving credit is what explains the additional value that knowledge has over merely lucky true belief. In this paper, I argue that the general conception of knowledge found in the DCVK is fundamentally incorrect. In particular, I show that deserving credit cannot be what distinguishes knowledge from merely lucky true belief since knowledge is not something for which a subject always deserves credit. (shrink)

The claim that knowledge is a kind of success from ability has great theoretical power: it explains the nature of epistemic normativity, why knowledge is incompatible with luck, and why knowledge is more valuable than mere true belief. This paper addresses objections to the view by wedding it with two additional ideas: that intellectual abilities display a certain structure, and that the concept of knowledge functions to flag good information, and good sources of information, for use in practical reasoning.

Since Edmund L. Gettier reminded us recently of a certain important inadequacy of the traditional analysis of "S knows that p," several attempts have been made to correct that analysis. In this paper I shall offer still another analysis (or a sketch of an analysis) of "S knows that p," one which will avert Gettier's problem. My concern will be with knowledge of empirical propositions only, since I think that the traditional analysis is adequate for knowledge of nonempirical truths.

Nozick analyzes fundamental issues, such as the identity of the self, knowledge and skepticism, free will, the foundations of ethics, and the meaning of life.

When we affirm that someone knows something, we are making a value judgment of sorts - we are claiming that there is something superior about that person's opinion, or their evidence, or perhaps about them. A central task of the theory of knowledge is to investigate the sort of evaluation at issue. This is the first book to make 'epistemic normativity,' or the normative dimension of knowledge and knowledge ascriptions, its central focus. John Greco argues that knowledge is a kind (...) of achievement, as opposed to mere lucky success. This locates knowledge within a broader, familiar normative domain. By reflecting on our thinking and practices in this domain, it is argued, we gain insight into what knowledge is and what kind of value it has for us. (shrink)

Ernest Sosa argues for two levels of knowledge, the animal and the reflective, each viewed as a distinctive human accomplishment.

One of the most interesting accounts of knowledge which have been recently proposed is the safety account of knowledge. According to it, one only knows that p if one's true belief that p could not have easily been false: S believes that p ==> p (where "==>" stands for the subjunctive conditional). This paper presents a counter-example and discusses attempts to fix the problem. It turns out that there is a deeper underlying problem which does not allow for a solution (...) that would help the safety theorist. It is not the case that knowledge is safe. (shrink)