This volume offers a solution to one of the central, unsolved problems of Western philosophy, that of induction. It explores the implications of Hume's argument that successful prediction tells us nothing about the truth of the predicting theory.

A new approach to Hume's problem of induction that justifies the optimality of induction at the level of meta-induction. Hume's problem of justifying induction has been among epistemology's greatest challenges for centuries. In this book, Gerhard Schurz proposes a new approach to Hume's problem. Acknowledging the force of Hume's arguments against the possibility of a noncircular justification of the reliability of induction, Schurz demonstrates instead the possibility of a noncircular justification of the optimality of induction, or, more precisely, of meta-induction (the application of induction to competing prediction models). Drawing on discoveries in computational learning theory, Schurz demonstrates that a regret-based learning strategy, attractivity-weighted meta-induction, is predictively optimal in all possible worlds among all prediction methods accessible to the epistemic agent. Moreover, the a priori justification of meta-induction generates a noncircular a posteriori justification of object induction. Taken together, these two results provide a noncircular solution to Hume's problem. Schurz discusses the philosophical debate on the problem of induction, addressing all major attempts at a solution to Hume's problem and describing their shortcomings; presents a series of theorems, accompanied by a description of computer simulations illustrating the content of these theorems (with proofs presented in a mathematical appendix); and defends, refines, and applies core insights regarding the optimality of meta-induction, explaining applications in neighboring disciplines including forecasting sciences, cognitive science, social epistemology, and generalized evolution theory. Finally, Schurz generalizes the method of optimality-based justification to a new strategy of justification in epistemology, arguing that optimality justifications can avoid the problems of justificatory circularity and regress.

A new approach to Hume's problem of induction that justifies the optimality of induction at the level of meta-induction. Hume's problem of justifying induction has been among epistemology's greatest challenges for centuries. In this book, Gerhard Schurz proposes a new approach to Hume's problem. Acknowledging the force of Hume's arguments against the possibility of a noncircular justification of the reliability of induction, Schurz demonstrates instead the possibility of a noncircular justification of the optimality of induction, or, more precisely, of meta-induction (the application of induction to competing prediction models). Drawing on discoveries in computational learning theory, Schurz demonstrates that a regret-based learning strategy, attractivity-weighted meta-induction, is predictively optimal in all possible worlds among all prediction methods accessible to the epistemic agent. Moreover, the a priori justification of meta-induction generates a noncircular a posteriori justification of object induction. Taken together, these two results provide a noncircular solution to Hume's problem. Schurz discusses the philosophical debate on the problem of induction, addressing all major attempts at a solution to Hume's problem and describing their shortcomings; presents a series of theorems, accompanied by a description of computer simulations illustrating the content of these theorems (with proofs presented in a mathematical appendix); and defends, refines, and applies core insights regarding the optimality of meta-induction, explaining applications in neighboring disciplines including forecasting sciences, cognitive science, social epistemology, and generalized evolution theory. Finally, Schurz generalizes the method of optimality-based justification to a new strategy of justification in epistemology, arguing that optimality justifications can avoid the problems of justificatory circularity and regress.

Colin Howson offers a solution to one of the central, unsolved problems of Western philosophy, the problem of induction. In the mid-eighteenth century David Hume argued that successful prediction tells us nothing about the truth of the predicting theory. No matter how many experimental tests a hypothesis passes, nothing can be legitimately inferred about its truth or probable truth. But physical theory routinely predicts the values of observable magnitudes to many small places of decimals and within very small ranges of error. The chance of this sort of predictive success without a true theory seems so remote that the possibility should be dismissed. This suggests that Hume's argument must be wrong; but there is still no consensus on where exactly this flaw lies. Howson argues that there is no flaw, and examines the implications of this disturbing conclusion for relation between science and its empirical base.

Immanuel Kant famously said that he was awoken from his "dogmatic slumbers," and led to question the possibility of metaphysics, by David Hume's doubts about causation. Because of this, many philosophers have viewed Hume's influence on Kant as limited to metaphysics. More recently, some philosophers have questioned whether even Kant's metaphysics was really motivated by Hume. In Knowledge, Reason, and Taste, renowned Kant scholar Paul Guyer challenges both of these views. He argues that Kant's entire philosophy--including his moral philosophy, aesthetics, and teleology, as well as his metaphysics--can fruitfully be read as an engagement with Hume. In this book, the first to describe and assess Hume's influence throughout Kant's philosophy, Guyer shows where Kant agrees or disagrees with Hume, and where Kant does or doesn't appear to resolve Hume's doubts. In doing so, Guyer examines the progress both Kant and Hume made on enduring questions about causes, objects, selves, taste, moral principles and motivations, and purpose and design in nature. Finally, Guyer looks at questions Kant and Hume left open to their successors.

This vital study offers a new interpretation of Hume's famous "Of Miracles," which notoriously argues against the possibility of miracles. By situating Hume's popular argument in the context of the eighteenth-century debate on miracles, Earman shows Hume's argument to be largely unoriginal and chiefly without merit where it is original. Yet Earman constructively conceives how progress can be made on the issues that Hume's essay so provocatively posed about the ability of eyewitness testimony to establish the credibility of marvelous and miraculous events.

The authors demonstrate that Hume's views can stand up to contemporary criticism and are relevant to current debates on causality.

Unique and accessible explanations to some of life's biggest questions, obtained through a series of irresistable mental challenges

Provides a sustained interpretation of Part 4 of Book 1 of Hume's Treatise, arguing that Hume uses our reactions to the sceptical arguments as evidence in favor of his model of the mind.

The problem of other minds has widely been considered as a special problem within the debate about scepticism. If one cannot be sure that there is a world existing independent ly of one's mind, how can we be sure that there are minds - minds which we cannot even experience the way we experience material objects? This book shows, through a detailed examination of David Hume's A Treatise of Human Nature, that these concerns are unfounded. By focusing on Hume's discussion of sympathy - the ability to connect with the mental contents of other persons - Anik Waldow demonstrates that belief in other minds can be justified by the same means as belief in material objects. The book thus not only provides the first large-scale treatment of the function of the belief in other minds within the Treatise, thereby adding a new dimension to Hume's realism, but also serves as an invaluable guide to the complexity of the problem of other minds and its various responses in contemporary debate.