This second edition of David-Hillel Ruben's influential and highly acclaimed book on the philosophy of explanation has been revised and expanded, and the author has made substantial changes in light of the extensive reviews the first edition received. Ruben's views on the place of laws in explanation has been refined and clarified. What is perhaps the central thesis of the book, his realist view of explanation, describing the way in which explanation depends on metaphysics, has been updated and extended and engages with some of the work in this area published since the book's first edition.

The National Book Critics Circle Award–winning author delivers a collection of essays that serve as the perfect “antidote to mansplaining” (The Stranger). In her comic, scathing essay “Men Explain Things to Me,” Rebecca Solnit took on what often goes wrong in conversations between men and women. She wrote about men who wrongly assume they know things and wrongly assume women don’t, about why this arises, and how this aspect of the gender wars works, airing some of her own hilariously awful encounters. She ends on a serious note— because the ultimate problem is the silencing of women who have something to say, including those saying things like, “He’s trying to kill me!” This book features that now-classic essay with six perfect complements, including an examination of the great feminist writer Virginia Woolf’s embrace of mystery, of not knowing, of doubt and ambiguity, a highly original inquiry into marriage equality, and a terrifying survey of the scope of contemporary violence against women. “In this series of personal but unsentimental essays, Solnit gives succinct shorthand to a familiar female experience that before had gone unarticulated, perhaps even unrecognized.” —The New York Times “Essential feminist reading.” —The New Republic “This slim book hums with power and wit.” —Boston Globe “Solnit tackles big themes of gender and power in these accessible essays. Honest and full of wit, this is an integral read that furthers the conversation on feminism and contemporary society.” —San Francisco Chronicle “Essential.” —Marketplace “Feminist, frequently funny, unflinchingly honest and often scathing in its conclusions.” —Salon

This second edition of David-Hillel Ruben's influential and highly acclaimed book on the philosophy of explanation has been revised and expanded, and the author has made substantial changes in light of the extensive reviews the first edition received. Ruben's views on the place of laws in explanation has been refined and clarified. What is perhaps the central thesis of the book, his realist view of explanation, describing the way in which explanation depends on metaphysics, has been updated and extended and engages with some of the work in this area published since the book's first edition.

Imagine an orchestra in your brain. It plays all kinds of harmonious melodies, then pain comes along and the different sections of the orchestra are reduced to a few pain tunes. All pain is real. And for many people it is a debilitating part of everyday life. It is now known that understanding more about why things hurt can actually help people to overcome their pain. Recent advances in fields such as neurophysiology, brain imaging, immunology, psychology and cellular biology have provided an explanatory platform from which to explore pain. In everyday language accompanied by quirky illustrations, Explain Pain discusses how pain responses are produced by the brain: how responses to injury from the autonomic motor and immune systems in your body contribute to pain, and why pain can persist after tissues have had plenty of time to heal. Explain Pain aims to give clinicians and people in pain the power to challenge pain and to consider new models for viewing what happens during pain. Once they have learnt about the processes involved they can follow a scientific route to recovery. The Authors: Dr Lorimer Moseley is Professor of Clinical Neurosciences and the Inaugural Chair in Physiotherapy at the University of South Australia, Adelaide, where he leads research groups at Body in Mind as well as with Neuroscience Research Australia in Sydney. Dr David Butler is an international freelance educator, author and director of the Neuro Orthopaedic Institute, based in Adelaide, Australia. Both authors continue to publish and present widely.

Normative ethical theories generally purport to be explanatory--to tell us not just what is good, or what conduct is right, but why. Drawing on both historical and contemporary approaches, Mark Schroeder offers a distinctive picture of how such explanations must work, and of the specific commitments that they incur. According to Schroeder, explanatory moral theories can be perfectly general only if they are reductive, offering accounts of what it is for something to be good, right, or what someone ought to do. So ambitious, highly general normative ethical theorizing is continuous with metaethical inquiry. Moreover, he argues that such explanatory theories face a special challenge in accounting for reasons or obligations that are universally shared, and develops an autonomy-based strategy for meeting this challenge, in the case of requirements of rationality. Explaining the Reasons We Share pulls together over a decade of work by one of the leading figures in contemporary metaethics. One new and ten previously published papers weave together treatments of reasons, reduction, supervenience, instrumental rationality, and legislation, to paint a sharp contrast between two plausible but competing pictures of the nature and limits of moral explanation--one from Cudworth and one indebted to Kant. A substantive new introduction provides a map to reading these essays as a unified argument, and qualifies their conclusions in light of Schroeder's current views. Along with its sister volume, Expressing Our Attitudes, this volume advances the theme that metaethical inquiry is continuous with other areas of philosophy.

Bringing sophisticated philosophy to bear on real-life historiography, Values, Objectivity, and Explanation in Historiography rekindles and invigorates the debate on two perennials in the theory and methodology of history. One is the tension between historians' values and the ideal—or illusion—of objective historiography. The other is historical explanation. The point of departure for the treatment of values and objectivity is an exceptionally heated debate on Cold War historiography in Denmark, involving not only historians but also the political parties, the national newspapers, and the courts. The in-depth analysis that follows concludes that historians can produce accounts that deserve the label "objective," even though their descriptions are tinged by ineluctable epistemic instability. A separate chapter dissects the postmodern notion of situated truths. The second part of the book proffers a new take on historical explanation. It is based on the notion of the ideal explanatory text, which allows for not only causal—including intentional—but also nomological, structural, and functional explanations. The approach, which can accommodate narrative explanations driven by causal plots, is ecumenical but not all-encompassing. Emergent social properties and supernatural entities are excluded from the ideal explanatory text, making scientific historiography methodologically individualistic—albeit with room for explanations at higher levels when pragmatically justified—and atheist. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non-Commercial-No Derivative License.

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.