Edmund Gettier is Professor Emeritus at the University of Massachusetts, Amherst. This short piece, published in 1963, seemed to many decisively to refute an otherwise attractive analysis of knowledge. It stimulated a renewed effort, still ongoing, to clarify exactly what knowledge comprises.

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)

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)

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)

There is a widely accepted family of views in the epistemology of testimony centering around the claim that belief is the central item involved in a testimonial exchange. For instance, in describing the process of learning via testimony, Elizabeth Fricker provides the following: “one language-user has a belief, which gives rise to an utterance by him; as a result of observing this utterance another user of the same language, his audience, comes to share that belief.” In a similar spirit, Alvin (...) Plantinga says that “…a belief on the part of the testifiee has warrant only if that belief has warrant for the testifier.” In both of these passages, we find strands of what I shall call the Belief View of Testimony. (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.

This paper presents a partial analysis of perceptual knowledge, an analysis that will, I hope, lay a foundation for a general theory of knowing. Like an earlier theory I proposed, the envisaged theory would seek to explicate the concept of knowledge by reference to the causal processes that produce (or sustain) belief. Unlike the earlier theory, however, it would abandon the requirement that a knower's belief that p be causally connected with the fact, or state of affairs, that p.

Russian translation of Gettier E. L. Is Justified True Belief Knowledge? // Analysis, vol. 23, 1963. Translated by Lev Lamberov with kind permission of the author.

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)

In my remarks, I discuss Sosa's attempt to deal with the sceptical threat posed by dreaming. Sosa explores two replies to the problem of dreaming scepticism. First, he argues that, on the imagination model of dreaming, dreaming does not threaten the safety of our beliefs. Second, he argues that knowledge does not require safety, but a weaker condition which is not threatened by dreaming skepticism. I raise questions about both elements of his reply.

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)