Amos Tversky

Paul Slovic

Daniel Kahneman

The thirty-five chapters in this book describe various judgmental heuristics and the biases they produce, not only in laboratory experiments but in important social, medical, and political situations as well. Individual chapters discuss the representativeness and availability heuristics, problems in judging covariation and control, overconfidence, multistage inference, social perception, medical diagnosis, risk perception, and methods for correcting and improving judgments under uncertainty. About half of the chapters are edited versions of classic articles; the remaining chapters are newly written for this book. Most review multiple studies or entire subareas of research and application rather than describing single experimental studies. This book will be useful to a wide range of students and researchers, as well as to decision makers seeking to gain insight into their judgments and to improve them.

Heuristics and Biases

Judgment Under Uncertainty

This book presents the definitive exposition of 'prospect theory', a compelling alternative to the classical utility theory of choice. Building on the 1982 volume, Judgement Under Uncertainty, this book brings together seminal papers on prospect theory from economists, decision theorists, and psychologists, including the work of the late Amos Tversky, whose contributions are collected here for the first time. While remaining within a rational choice framework, prospect theory delivers more accurate, empirically verified predictions in key test cases, as well as helping to explain many complex, real-world puzzles. In this volume, it is brought to bear on phenomena as diverse as the principles of legal compensation, the equity premium puzzle in financial markets, and the number of hours that New York cab drivers choose to drive on rainy days. Theoretically elegant and empirically robust, this volume shows how prospect theory has matured into a new science of decision making.

Choices, Values, and Frames

Michael Lewis

Some of the best and most influential papers by Amos Tversky, one of the most brilliant social science thinkers of the twentieth century. Amos Tversky (1937-1996) was a towering figure in the cognitive and decision sciences. His work was ingenious, exciting, and influential, spanning topics from intuition to statistics to behavioral economics. His long and extraordinarily productive collaboration with his friend and colleague Daniel Kahneman was the subject of Michael Lewis's best-selling book, The Undoing Project: A Friendship that Changed Our Minds. The Essential Tversky offers a selection of Tversky's best, most influential and accessible papers, "classics" chosen to capture the essence of Tversky's thought. The impact of Tversky's work is far reaching and long-lasting. In 2002, Kahneman, who drew on their joint work in his much-praised 2013 book, Thinking, Fast and Slow (and who contributes an afterword to this collection), was awarded the Nobel Prize in Economics for work done with Tversky. In The Undoing Project, Lewis (who contributes a foreword to this collection) describes his discovery that Tversky and Kahneman's thinking laid the foundation for Moneyball, his own ode to number-crunching. The papers collected in The Essential Tversky cover topics that include cognitive and perceptual bias, misguided beliefs, inconsistent preferences, risky choice and loss aversion decisions, and psychological common sense. Together, they offer nonspecialist readers an introduction to one of the most brilliant social science thinkers of the twentieth century.

The Essential Tversky

An Analysis of Decision Under Risk

Prospect Theory

Patrick Suppes

R. Duncan Luce

David H. Krantz

David M. Krantz

Additive and Polynomial Representations ...

Foundations of Measurement: Additive and polynomial representations

Varda Liberman

Critical Thinking examines how we make judgments under uncertainty and how various biases can distort our consideration of evidence. Via everyday examples, Varda Liberman and Amos Tversky explore the insights of probability, causal relationships, and making inferences from samples with the goal of helping readers improve their intuitive reasoning.

Statistical Reasoning and Intuitive Judgment

Critical Thinking

Selected works by the influential cognitive and mathematical psychologist and decision theorist Amos Tversky.

Selected Writings

Preference, Belief, and Similarity

David E. Bell

Howard Raiffa

A compilation of different approaches--normative, descriptive,and prescriptive--develops this integrated analysis of decision-making that emphasizes the contributions of various disciplinary interests.

Amos Tversky

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