Against the traditional view, Alvin Goldman argues that logic, probability theory, and linguistic analysis cannot by themselves delineate principles of rationality or justified belief. The mind's operations must be taken into account.

1 Knowledge and Justification This book is an investigation of one central problem which arises in the attempt to give a philosophical account of empirical ...

Change in View offers an entirely original approach to the philosophical study of reasoning by identifying principles of reasoning with principles for revising one's beliefs and intentions and not with principles of logic. This crucial observation leads to a number of important and interesting consequences that impinge on psychology and artificial intelligence as well as on various branches of philosophy, from epistemology to ethics and action theory. Gilbert Harman is Professor of Philosophy at Princeton University. A Bradford Book.

This volume represents the most comprehensive and authoritative collection of canonical readings in theory of knowledge. It is ideal as a reader for all courses in epistemology.

" In a book that seeks to shift the ground of debate within theory of knowledge, William P. Alston finds that the century-lo.

Many have the intuition that the right response to the Lottery Paradox is to deny that one can justifiably believe of even a single lottery ticket that it will lose. The paper shows that from any theory of justification that solves the paradox in accordance with this intuition, a theory not of that kind can be derived that also solves the paradox but is more conducive to our epistemic goal than the former. It is argued that currently there is no (...) valid reason not to give preference to the derived accounts over the accounts from which they come. (shrink)

Van Fraassen (1989) argues that Inference to the Best Explanation is incoherent in the sense that adopting it as a rule for belief change will make one susceptible to a dynamic Dutch book. The present paper argues against this. A strategy is described that allows us to infer to the best explanation free of charge.

A theory of evidential probability is developed from two assumptions:(1) the evidential probability of a proposition is its probability conditional on the total evidence;(2) one's total evidence is one's total knowledge. Evidential probability is distinguished from both subjective and objective probability. Loss as well as gain of evidence is permitted. Evidential probability is embedded within epistemic logic by means of possible worlds semantics for modal logic; this allows a natural theory of higher-order probability to be developed. In particular, it is (...) emphasized that it is sometimes uncertain which propositions are part of one's total evidence; some surprising implications of this fact are drawn out. (shrink)

This paper argues that the foundations of our knowledge are the bed-rock certainties of ordinary life, what may be called the Moorean truths. Beyond that are the well-established results within the empirical sciences, and whatever has been proved in the rational sciences of mathematics and logic. Otherwise there is only belief, which may be more or less rational. A moral drawn from this is that dogmatism should be moderated on all sides.

There is widespread agreement that we cannot know of a lottery ticket we own that it is a loser prior to the drawing of the lottery. At the same time we appear to have knowledge of events that will occur only if our ticket is a loser. Supposing any plausible closure principle for knowledge, the foregoing seems to yield a paradox. Appealing to some broadly Gricean insights, the present paper argues that this paradox is apparent only.

If skepticism is once again fashionable, then much of the credit must go to Peter Unger who gives a sustained defense of an ultra-pyrrhonian position in his book, Ignorance: A case for Skepticism. Starting with a version of the traditional argument that we know nothing about the external world, Unger plunges deeper into skeptical waters by next arguing that there is at most hardly anything which we know to be so; and he scarcely pauses before proceeding to defend the stronger (...) conclusion of ‘universal ignorance,’ the thesis that nobody ever knows anything to be the case. I view Unger's thesis and the arguments that led him to it as a challenge to be overcome, not by an appeal to dogmatism - which Unger sees as the only alternative to skepticism - but by recourse to hard-biting arguments of the sort in which Unger himself puts his faith. In what follows I shall attempt to restate Unger's three main skeptical arguments with a view to showing that their bite is not nearly so hard as he imagines. (shrink)