Bringing together for the first time many key articles by leading philosophers, this volume charts the problems, positions and themes concerning the issue of materialism.

"Contemporary Materialism" brings together the best recent work on materialism from many of our leading contemporary philosophers. This is the first comprehensive reader on the subject. The majority of philosophers and scientists today hold the view that all phenomena are physical. As a result materialism or 'physicalism' is now the dominant ontology in a wide range of fields. This book collects the key investigations into materialism, to reflect the impact it has had on current thinking in metaphysics, philosophy of mind and the theory of value. The papers in this collection chart contemporary problems, positions and themes in materialism. At the inivitation of the editors, many of the papers have been specially up-dated for this collection: follow-on pieces written by the contributors enable them to appraise the original paper and assess developments since the work was first published. The book's selections are largley non-technical and accessible to advanced undergraduates. The editors have provided a useful general introduction, outlining and contextualising this central system of thought, as well as a topical bibliography.

A road map to empathic and efficient decisions and policies, constructed from new insights in the science of human judgment
Faced with another's suffering, human beings feel sympathy and may even be moved to charity. However, for all our good intentions and vaunted free will, we are lousy at making the bigger decisions that actually improve lives. Why? Drawing on his sweeping and innovative research in the fields of psychology, behavioral economics, and neuroscience, philosopher and cognitive scientist J. D. Trout explains how our empathic wiring actually undermines the best interests of individuals and society. However, it is possible to bridge this "empathy gap" and improve our decision-making. Here, Trout offers a tantalizing proposal- how to vault that gap and improve the lives of not just ourselves but the lives of everyone all around the world.

Bishop and Trout here present a unique and provocative new approach to epistemology (the theory of human knowledge and reasoning). Their approach aims to liberate epistemology from the scholastic debates of standard analytic epistemology, and treat it as a branch of the philosophy of science. The approach is novel in its use of cost-benefit analysis to guide people facing real reasoning problems and in its framework for resolving normative disputes in psychology. Based on empirical data, Bishop and Trout show how people can improve their reasoning by relying on Statistical Prediction Rules (SPRs). They then develop and articulate the positive core of the book. Their view, Strategic Reliabilism, claims that epistemic excellence consists in the efficient allocation of cognitive resources to reliable reasoning strategies, applied to significant problems. The last third of the book develops the implications of this view for standard analytic epistemology; for resolving normative disputes in psychology; and for offering practical, concrete advice on how this theory can improve real people's reasoning.
This is a truly distinctive and controversial work that spans many disciplines and will speak to an unusually diverse group, including people in epistemology, philosophy of science, decision theory, cognitive and clinical psychology, and ethics and public policy.

This book proposes an innovative theory of measurement - Population-Guided Estimation - that connects natural, psychological, and social scientific inquiry.

Scientific realism has been advanced as an interpretation of the natural sciences but never as an interpretation of the behavioural sciences. This book introduces a novel version of scientific realism -- Measured Realism -- that characterizes the kind of theoretical progress in the social and psychological sciences that is uneven but indisputable. Measuring the Intentional World proposes a theory of measurement -- Population-Guided Estimation -- that connects natural, psychological, and social scientific inquiry.

A fresh, daring, and genuine alternative to the traditional story of scientific progress. Explaining the world around us, and the life within it, is one of the most uniquely human drives, and the most celebrated activity of science. Good explanations are what provide accurate causal accounts of the things we wonder at, but explanation's earthly origins haven't grounded it: we have used it to account for the grandest and most wondrous mysteries in the natural world. Explanations give us a sense of understanding, but an explanation that feels right doesn't mean it is true. For every true explanation, there is a false one that feels just as good. A good theory's explanations, though, have a much easier path to truth. This push for good explanations elevated science from medieval alchemy to electro-chemistry, or a pre-inertial physics to the forces underlying nanoparticles. And though the attempt to explain has existed as long as we have been able to wonder, a science timeline from pre-history to the present will reveal a steep curve of theoretical discovery that explodes around 1600, primarily in the West. Ranging over neuroscience, psychology, history, and policy, Wondrous Truths answers two fundamental questions - Why did science progress in the West? And why so quickly? J.D. Trout's answers are surprising. His central idea is that Western science rose above all others because it hit upon successive theories that were approximately true through an awkward assortment of accident and luck, geography and personal idiosyncrasy. Of course, intellectual ingenuity partially accounts for this persistent drive forward. But so too does the persistence of the objects of wonder. Wondrous Truths recovers the majesty of science, and provides a startling new look at the grand sweep of its biggest ideas.

Bishop and Trout here present a unique and provocative new approach to epistemology (the theory of human knowledge and reasoning). Their approach aims to liberate epistemology from the scholastic debates of standard analytic epistemology, and treat it as a branch of the philosophy of science. The approach is novel in its use of cost-benefit analysis to guide people facing real reasoning problems and in its framework for resolving normative disputes in psychology. Based on empirical data, Bishop and Trout show how people can improve their reasoning by relying on Statistical Prediction Rules (SPRs). They then develop and articulate the positive core of the book. Their view, Strategic Reliabilism, claims that epistemic excellence consists in the efficient allocation of cognitive resources to reliable reasoning strategies, applied to significant problems. The last third of the book develops the implications of this view for standard analytic epistemology; for resolving normative disputes in psychology; and for offering practical, concrete advice on how this theory can improve real people's reasoning.
This is a truly distinctive and controversial work that spans many disciplines and will speak to an unusually diverse group, including people in epistemology, philosophy of science, decision theory, cognitive and clinical psychology, and ethics and public policy.