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Empathy and the Historical Understanding of the Human Past

Empathy and the Historical Understanding of the Human Past is a comprehensive consideration of the role of empathy in historical knowledge, informed by the literature on empathy in fields including history, psychoanalysis, psychology, neuroscience, philosophy, and sociology. The book seeks to raise the consciousness of historians about empathy, by introducing them to the history of the concept and to its status in fields outside of history. It also seeks to raise the self-consciousness of historians about their use of empathy to know and understand past people. Defining empathy as thinking and feeling, as imagining, one's way inside the experience of others in order to know and understand them, Thomas A. Kohut distinguishes between the external and the empathic observational position, the position of the historical subject. He argues that historians need to be aware of their observational position, of when they are empathizing and when they are not. Indeed, Kohut advocates for the deliberate, self-reflective use of empathy as a legitimate and important mode of historical inquiry. Insightful, cogent, and interdisciplinary, the book will be essential for historians, students of history, and psychoanalysts, as well as those in other fields who seek to seek to know and understand human beings.

Computer Organization and Design

Parameterized Algorithms

This comprehensive textbook presents a clean and coherent account of most fundamental tools and techniques in Parameterized Algorithms and is a self-contained guide to the area. The book covers many of the recent developments of the field, including application of important separators, branching based on linear programming, Cut & Count to obtain faster algorithms on tree decompositions, algorithms based on representative families of matroids, and use of the Strong Exponential Time Hypothesis. A number of older results are revisited and explained in a modern and didactic way. The book provides a toolbox of algorithmic techniques. Part I is an overview of basic techniques, each chapter discussing a certain algorithmic paradigm. The material covered in this part can be used for an introductory course on fixed-parameter tractability. Part II discusses more advanced and specialized algorithmic ideas, bringing the reader to the cutting edge of current research. Part III presents complexity results and lower bounds, giving negative evidence by way of W[1]-hardness, the Exponential Time Hypothesis, and kernelization lower bounds. All the results and concepts are introduced at a level accessible to graduate students and advanced undergraduate students. Every chapter is accompanied by exercises, many with hints, while the bibliographic notes point to original publications and related work.