There have been times in the history of ethical theory, especially in this century, when moral realism was down, but it was never out. The appeal of this doctrine for many moral philosophers is apparently so strong that there are always supporters in its corner who seek to resuscitate the view. The attraction is obvious: moral realism purports to provide a precious philosophical good, viz., objectivity and all that this involves, including right answers to (most) moral questions, and the possibility (...) of knowing those answers. In the last decade, moral realism has re-entered the philosophical ring in powerful-looking naturalistic form. ln this paper we provide a dialectical overview: we situate the new wave position itself, and also our objections to it, in the context of the evolving program of philosophical naturalism in 20th century analytic philosophy. We seek to show that although this new contender might initially look like championship material, it succumbs to punches surprisingly similar to those that knocked out the old-fashioned versions of naturalist moral realism. (shrink)

There have been times in the history of ethical theory, especially in this century, when moral realism was down, but it was never out. The appeal of this doctrine for many moral philosophers is apparently so strong that there are always supporters in its corner who seek to resuscitate the view. The attraction is obvious: moral realism purports to provide a precious philosophical good, viz., objectivity and all that this involves, including right answers to (most) moral questions, and the possibility (...) of knowing those answers. In the last decade, moral realism has re-entered the philosophical ring in powerful-looking naturalistic form. ln this paper we provide a dialectical overview: we situate the new wave position itself, and also our objections to it, in the context of the evolving program of philosophical naturalism in 20th century analytic philosophy. We seek to show that although this new contender might initially look like championship material, it succumbs to punches surprisingly similar to those that knocked out the old-fashioned versions of naturalist moral realism. (shrink)

The Matrix presents a version of an old philosophical fable: the brain in a vat. A disembodied brain is floating in a vat, inside a scientist’s laboratory. The scientist has arranged that the brain will be stimulated with the same sort of inputs that a normal embodied brain receives. To do this, the brain is connected to a giant computer simulation of a world. The simulation determines which inputs the brain receives. When the brain produces outputs, these are fed back (...) into the simulation. The internal state of the brain is just like that of a normal brain, despite the fact that it lacks a body. From the brain’s point of view, things seem very much as they seem to you and me. (shrink)

I argue that you can have a priori knowledge of propositions that neither are nor appear necessarily true. You can know a priori contingent propositions that you recognize as such. This overturns a standard view in contemporary epistemology and the traditional view of the a priori, which restrict a priori knowledge to necessary truths, or at least to truths that appear necessary.

Knowledge and Lotteries is organized around an epistemological puzzle: in many cases, we seem consistently inclined to deny that we know a certain class of propositions, while crediting ourselves with knowledge of propositions that imply them. In its starkest form, the puzzle is this: we do not think we know that a given lottery ticket will be a loser, yet we normally count ourselves as knowing all sorts of ordinary things that entail that its holder will not suddenly acquire a (...) large fortune. After providing a number of specific and general characterizations of the puzzle, Hawthorne carefully examines the competing merits of candidate solutions. In so doing, he explores a number of central questions concerning the nature and importance of knowledge, including the relationship of knowledge to assertion and practical reasoning, the status of epistemic closure principles, the merits of various brands of scepticism, the prospects for a contextualist account of knowledge, and the potential for other sorts of salience-sensitive accounts. Along the way, he offers a careful treatment of pertinent issues at the foundations of semantics. His book will be of interest to anyone working in the field of epistemology, as well as to philosophers of language. (shrink)

The paper asks under what conditions deductive reasoning transmits justification from its premises to its conclusion. It argues that both standard externalist and standard internalist accounts of this phenomenon fail. The nature of this failure is taken to indicate the way forward: basic forms of deductive reasoning must justify by being instances of 'blind but blameless' reasoning. Finally, the paper explores the suggestion that an inferentialist account of the logical constants can help explain how such reasoning is possible.

In this paper I will argue that (principled) attempts to ground a priori knowledge in default reasonable beliefs cannot capture certain common intuitions about what is required for a priori knowledge. I will describe hypothetical creatures who derive complex mathematical truths like Fermat’s last theorem via short and intuitively unconvincing arguments. Many philosophers with foundationalist inclinations will feel that these creatures must lack knowledge because they are unable to justify their mathematical assumptions in terms of the kind of basic facts (...) which can be known without further argument. Yet, I will argue that nothing in the current literature lets us draw a principled distinction between what these creatures are doing and paradigmatic cases of good a priori reasoning (assuming that the latter are to be grounded in default reasonable beliefs). I will consider, in turn, appeals to reliability, coherence, conceptual truth and indispensability and argue that none of these can do the job. (shrink)

Many philosophers argue that Bayesian epistemology cannot help us with the traditional Humean problem of induction. I argue that this view is partially but not wholly correct. It is true that Bayesianism does not solve Hume’s problem, in the way that the classical and logical theories of probability aimed to do. However I argue that in one important respect, Hume’s sceptical challenge cannot simply be transposed to a probabilistic context, where beliefs come in degrees, rather than being a yes/no matter.

The argument is not, however, problem-free. First: while the meaning of s might not guarantee a verifying state of affairs, mightn’t the fact of one’s believing that s is true guarantee a verifying state of affairs? And mightn’t this fact be exploited to secure knowledge of truths that are deeply contingent? Second: the argument seems to rely on the principle that if I can conceive that not P is actually the case, then I do not know that P. But it (...) is generally agreed that a knowledge-conferring warrant for some P need not offer a watertight guarantee of P and thus need not render it inconceivable that the actual world falsifies P. Why then require such a guarantee when it comes to priori warrant? The first objection is that a guarantee of truth need not come from semantics. The second is that no such guarantee is required for a priori knowledge. I shall be exploring both of these ideas in what follows. (shrink)

The problem of easy knowledge arises for theories that have what I call a “basic knowledge structure”. S has basic knowledge of P just in case S knows P prior to knowing that the cognitive source of S's knowing P is reliable.1 Our knowledge has a basic knowledge structure (BKS) just in case we have basic knowledge and we come to know our faculties are reliable on the basis of our basic knowledge. The problem I raised in “Basic Knowledge and (...) the Problem of Easy Knowledge”2 (BKEK) is that once we allow for basic knowledge, we can come to know our faculties are reliable in ways that intuitively are too easy. This raises a serious doubt about whether we had the basic knowledge in the first place. In “Easy Knowledge”, Peter Markie argues that BKS theories do not face any problem concerning easy knowledge.3 I argued that the problem arises in two forms, and Markie takes issue with both. I will argue that Markie's defense of BKS theories fails. (shrink)

The foundations of probability are viewed through the lens of the subjectivist interpretation. This article surveys conditional probability, arguments for probabilism, probability dynamics, and the evidential and subjective interpretations of probability.