Brings together a collection of papers by social and cognitive psychologists. The essays in this volume contain theoretical insights. This book provides an overview of this topic for researchers, as well as advanced undergraduates and graduates in psychology.

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.

Counterfactual reasoning evaluates conditional claims about alternate possibilities and their consequences (i.e., ?What If? statements). Counterfactuals are essential to intelligence analysis. The process of counterfactual reasoning has three stages. First, one must establish the particular way in which the alternate possibility comes to be (i.e., develop its ?back-story?). Second, one must evaluate the events that occur between the time of the alternate possibility and the time for which one is considering its consequences. And third, one must examine the possible consequences of the alternate possibility's back-story and the events that follow it. In doing so, an analyst must connect conclusions to speci

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.

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.

This fresh and dynamic book offers a thorough investigation into the development of the cognitive processes that underpin judgements about mental states (often termed 'theory of mind') and addresses specific issues that have not been adequately dealt with in the past, and which are now being raised by some of the most prominent researchers in the field.

These findings provide initial support for a functional theory of counterfactual thinking: people may strategically use downward counterfactuals to make themselves feel better (an affective function), and they may strategically use upward and additive counterfactuals to improve performance in the future (a preparative function). The present studies suggest that the mechanism underlying the preparative function represents a causal link from counterfactuals to intentions to overt behaviours. Implications for current theory and future research are considered.