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This book brings together eight years of teaching and research connected with the integrated basic reading and writing course developed at the University of Pittsburgh.
Political scientists often ask themselves what might have been if history had unfolded differently: if Stalin had been ousted as General Party Secretary or if the United States had not dropped the bomb on Japan. Although scholars sometimes scoff at applying hypothetical reasoning to world politics, the contributors to this volume--including James Fearon, Richard Lebow, Margaret Levi, Bruce Russett, and Barry Weingast--find such counterfactual conjectures not only useful, but necessary for drawing causal inferences from historical data. Given the importance of counterfactuals, it is perhaps surprising that we lack standards for evaluating them. To fill this gap, Philip Tetlock and Aaron Belkin propose a set of criteria for distinguishing plausible from implausible counterfactual conjectures across a wide range of applications. The contributors to this volume make use of these and other criteria to evaluate counterfactuals that emerge in diverse methodological contexts including comparative case studies, game theory, and statistical analysis. Taken together, these essays go a long way toward establishing a more nuanced and rigorous framework for assessing counterfactual arguments about world politics in particular and about the social sciences more broadly.
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.
Within a few short years, research on counterfactual thinking has mushroomed, establishing itself as one of the signature domains within social psychology. Counterfactuals are thoughts of what might have been, of possible past outcomes that could have taken place. Counterfactuals and their implications for perceptions of time and causality have long fascinated philosophers, but only recently have social psychologists made them the focus of empirical inquiry. Following the publication of Kahneman and Tversky's seminal 1982 paper, a burgeoning literature has implicated counterfactual thinking in such diverse judgments as causation, blame, prediction, and suspicion; in such emotional experiences as regret, elation, disappointment and sympathy; and also in achievement, coping, and intergroup bias. But how do such thoughts come about? What are the mechanisms underlying their operation? How do their consequences benefit, or harm, the individual? When is their generation spontaneous and when is it strategic? This volume explores these and other numerous issues by assembling contributions from the most active researchers in this rapidly expanding subfield of social psychology. Each chapter provides an in-depth exploration of a particular conceptual facet of counterfactual thinking, reviewing previous work, describing ongoing, cutting-edge research, and offering novel theoretical analysis and synthesis. As the first edited volume to bring together the many threads of research and theory on counterfactual thinking, this book promises to be a source of insight and inspiration for years to come.
Inventing counterfactual histories is a common pastime of modern day historians, both amateur and professional. We speculate about an America ruled by Jefferson Davis, a Europe that never threw off Hitler, or a second term for JFK. These narratives are often written off as politically inspired fantasy or as pop culture fodder, but in Telling It Like It Wasn’t, Catherine Gallagher takes the history of counterfactual history seriously, pinning it down as an object of dispassionate study. She doesn’t take a moral or normative stand on the practice, but focuses her attention on how it works and to what ends—a quest that takes readers on a fascinating tour of literary and historical criticism. Gallagher locates the origins of contemporary counterfactual history in eighteenth-century Europe, where the idea of other possible historical worlds first took hold in philosophical disputes about Providence before being repurposed by military theorists as a tool for improving the art of war. In the next century, counterfactualism became a legal device for deciding liability, and lengthy alternate-history fictions appeared, illustrating struggles for historical justice. These early motivations—for philosophical understanding, military improvement, and historical justice—are still evident today in our fondness for counterfactual tales. Alternate histories of the Civil War and WWII abound, but here, Gallagher shows how the counterfactual habit of replaying the recent past often shapes our understanding of the actual events themselves. The counterfactual mode lets us continue to envision our future by reconsidering the range of previous alternatives. Throughout this engaging and eye-opening book, Gallagher encourages readers to ask important questions about our obsession with counterfactual history and the roots of our tendency to ask “What if...?”
Counterfactuals is David Lewis' forceful presentation of and sustained argument for a particular view about propositions which express contrary to fact conditionals, including his famous defense of realism about possible worlds.
Fiction. Asian & Asian American Studies. From fragmented ransom notes to hanging footnotes, contemporary fairy tales to coded text, interconnecting pieces of modal flash fiction to backwards fractal narratives about gradual blindness, transgressive listicles to how-to guides for performative wokeness, variable destinies in downtown Chicago to impossible dating applications, counterfactual relationships to the French translation of adolescence, the conceptual, language-driven short stories in COUNTERFACTUAL LOVE STORIES AND OTHER EXPERIMENTS are an exploration of not just mixed-race/hapa identity in Michigan (and the American Midwest), but also of the infinite ways in which stories can be told, challenged, celebrated, and subverted.
This book provides a critical overview of significant developments in research and theory on counterfactual thinking that have emerged in recent years and spotlights exciting new directions for future research in this area. Key issues considered include the relations between counterfactual and casual reasoning, the functional bases of counterfactual thinking, the role of counterfactual thinking in the experience of emotion and the importance of counterfactual thinking in the context of crime and justice.
One philosophical approach to causation sees counterfactual dependence as the key to the explanation of causal facts: for example, events c (the cause) and e (the effect) both occur, but had c not occurred, e would not have occurred either. The counterfactual analysis of causation became a focus of philosophical debate after the 1973 publication of the late David Lewis's groundbreaking paper, "Causation," which argues against the previously accepted "regularity" analysis and in favor of what he called the "promising alternative" of the counterfactual analysis. Thirty years after Lewis's paper, this book brings together some of the most important recent work connecting—or, in some cases, disputing the connection between—counterfactuals and causation, including the complete version of Lewis's Whitehead lectures, "Causation as Influence," a major reworking of his original paper. Also included is a more recent essay by Lewis, "Void and Object," on causation by omission. Several of the essays first appeared in a special issue of the Journal of Philosophy, but most, including the unabridged version of "Causation as Influence," are published for the first time or in updated forms. Other topics considered include the "trumping" of one event over another in determining causation; de facto dependence; challenges to the transitivity of causation; the possibility that entities other than events are the fundamental causal relata; the distinction between dependence and production in accounts of causation; the distinction between causation and causal explanation; the context-dependence of causation; probabilistic analyses of causation; and a singularist theory of causation.
Counterfactuality is currently a hotly debated topic. While for some disciplines such as linguistics, cognitive science, or psychology counterfactual scenarios have been an important object of study for quite a while, counterfactual thinking has in recent years emerged as a method of study for other disciplines, most notably the social sciences. This volume provides an overview of the current definitions and uses of the concept of counterfactuality in philosophy, historiography, political sciences, psychology, linguistics, physics, and literary studies. The individual contributions not only engage the controversies that the deployment of counterfactual thinking as a method still generates, they also highlight the concept’s potential to promote interdisciplinary exchange without neglecting the limitations and pitfalls of such a project. Moreover, the essays from literary studies, which make up about half of the volume, provide both a historical and a systematic perspective on the manifold ways in which counterfactual scenarios can be incorporated into and deployed in literary texts.