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Presents a comprehensive account of how the mind causes things to happen in the physical world. This book is also available as Open Access.
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.
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.
Twelve essays explore what bearing empirical findings might have on philosophical concerns about counterfactuals and causation, and how, in turn, work in philosophy might help clarify issues in empirical work on the relationships between causal and counterfactual thought.
In The Causal Exclusion Problem, the popular strategy of abandoning any one of the principles constituting the causal exclusion problem is considered, but ultimately rejected. The metaphysical foundations undergirding the causal exclusion problem are then explored, revealing that the causal exclusion problem cannot be dislodged by undermining its metaphysical foundations - as some are in the habit of doing. Finally, the significant difficulties associated with the bevy of contemporary nonreductive solutions, from supervenience to emergentism, are expanded upon. While conducting this survey of contemporary options, however, two novel approaches are introduced, both of which may resolve the causal exclusion problem from within a nonreductive physicalist paradigm. The Causal Exclusion Problem, which relentlessly motivates the vexing causal exclusion problem and exhaustively surveys its metaphysical assumptions and contemporary responses, is ideal for an advanced undergraduate or graduate course in the philosophy of mind.
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.
What are counterfactuals and what is their point? In many cases, none at all. It may be true that if kangaroos didn't have tails, they would fall over, but they do have tails and if they didn't they wouldn't be kangaroos (or would they?). This is the sort of thing that can give counterfactuals a bad name, as inhabitants of a La La Land of the mind. On the other hand, counterfactuals do useful service across a broad range of disciplines in both the sciences and the humanities, including philosophy, history, cosmology, biology, cognitive psychology, jurisprudence, economics, art history, literary theory. They are also richly, albeit sometimes treacherously, present in the everyday human realm of how our lives are both imagined and lived: in the 'crossroads' scenario of decision-making, the place of regret in retrospective assessments of paths taken and not taken, and, at the outer limit, as the wish not to have been born. Christopher Prendergast take us on a dizzying exploratory journey through some of these intellectual and human landscapes, mobilizing a wide range of reference from antiquity to the present, and sustained by the belief that, whether as help or hindrance, and with many variations across cultures, counterfactual thinking and imagining are fundamental to what it is to be human.