Judgement And Choice Perspectives On The Work Of Daniel Kahneman

The work of Daniel Kahneman and Amos Tversky has transformed the study of judgment and decision-making, and penetrated related disciplines such as economics, finance, marketing, law and medicine. In recognition of these achievements, Kahneman was awarded the Nobel Prize for Economics in 2003. This special issue presents ongoing research inspired by both Kahneman and Tversky. It covers many of the central themes the heuristics and biases of judgment and prediction, framing effects, assessments and predictions of utility that made their work so innovative. The specially written papers illustrate the range and depth of this work, and emphasise its continued relevance to current research.

The work of Daniel Kahneman and Amos Tversky has transformed the study of judgment and decision-making, and penetrated related disciplines such as economics, finance, marketing, law and medicine. In recognition of these achievements, Kahneman was awarded the Nobel Prize for Economics in 2003. This special issue presents ongoing research inspired by both Kahneman and Tversky. It covers many of the central themes – the heuristics and biases of judgment and prediction, framing effects, assessments and predictions of utility – that made their work so innovative. The specially written papers illustrate the range and depth of this work, and emphasise its continued relevance to current research.

Major New York Times bestseller Winner of the National Academy of Sciences Best Book Award in 2012 Selected by the New York Times Book Review as one of the ten best books of 2011 A Globe and Mail Best Books of the Year 2011 Title One of The Economist's 2011 Books of the Year One of The Wall Street Journal's Best Nonfiction Books of the Year 2011 2013 Presidential Medal of Freedom Recipient Kahneman's work with Amos Tversky is the subject of Michael Lewis's The Undoing Project: A Friendship That Changed Our Minds In his mega bestseller, Thinking, Fast and Slow, Daniel Kahneman, the renowned psychologist and winner of the Nobel Prize in Economics, takes us on a groundbreaking tour of the mind and explains the two systems that drive the way we think. System 1 is fast, intuitive, and emotional; System 2 is slower, more deliberative, and more logical. The impact of overconfidence on corporate strategies, the difficulties of predicting what will make us happy in the future, the profound effect of cognitive biases on everything from playing the stock market to planning our next vacation—each of these can be understood only by knowing how the two systems shape our judgments and decisions. Engaging the reader in a lively conversation about how we think, Kahneman reveals where we can and cannot trust our intuitions and how we can tap into the benefits of slow thinking. He offers practical and enlightening insights into how choices are made in both our business and our personal lives—and how we can use different techniques to guard against the mental glitches that often get us into trouble. Winner of the National Academy of Sciences Best Book Award and the Los Angeles Times Book Prize and selected by The New York Times Book Review as one of the ten best books of 2011, Thinking, Fast and Slow is destined to be a classic.

The work of Daniel Kahneman and Amos Tversky has transformed the study of judgment and decision-making, and penetrated related disciplines such as economics, finance, marketing, law and medicine. In recognition of these achievements, Kahneman was awarded the Nobel Prize for Economics in 2003. This special issue presents ongoing research inspired by both Kahneman and Tversky. It covers many of the central themes the heuristics and biases of judgment and prediction, framing effects, assessments and predictions of utility that made their work so innovative. The specially written papers illustrate the range and depth of this work, and emphasise its continued relevance to current research.

This book, first published in 2002, compiles psychologists' best attempts to answer important questions about intuitive judgment.

From the Nobel Prize-winning author of Thinking, Fast and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad judgments and how to make better ones—"a tour de force” (New York Times). Imagine that two doctors in the same city give different diagnoses to identical patients—or that two judges in the same courthouse give markedly different sentences to people who have committed the same crime. Suppose that different interviewers at the same firm make different decisions about indistinguishable job applicants—or that when a company is handling customer complaints, the resolution depends on who happens to answer the phone. Now imagine that the same doctor, the same judge, the same interviewer, or the same customer service agent makes different decisions depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgments that should be identical. In Noise, Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein show the detrimental effects of noise in many fields, including medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection. Wherever there is judgment, there is noise. Yet, most of the time, individuals and organizations alike are unaware of it. They neglect noise. With a few simple remedies, people can reduce both noise and bias, and so make far better decisions. Packed with original ideas, and offering the same kinds of research-based insights that made Thinking, Fast and Slow and Nudge groundbreaking New York Times bestsellers, Noise explains how and why humans are so susceptible to noise in judgment—and what we can do about it.

Thirty-five chapters describe various judgmental heuristics and the biases they produce, not only in laboratory experiments, but in important social, medical, and political situations as well. Most review multiple studies or entire subareas rather than describing single experimental studies.

Judgment and Decision Making is a refreshingly accessible text that explores the wide variety of ways people make judgments. An accessible examination of the wide variety of ways people make judgments Features up-to-date theoretical coverage, including perspectives from evolutionary psychology and neuroscience Covers dynamic decision making, everyday decision making, individual differences, group decision making, and the nature of mind and brain in relation to judgment and decision making Illustrates key concepts with boxed case studies and cartoons

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.

Amos Tversky (1937–1996), a towering figure in cognitive and mathematical psychology, devoted his professional life to the study of similarity, judgment, and decision making. He had a unique ability to master the technicalities of normative ideals and then to intuit and demonstrate experimentally their systematic violation due to the vagaries and consequences of human information processing. He created new areas of study and helped transform disciplines as varied as economics, law, medicine, political science, philosophy, and statistics. This book collects forty of Tversky's articles, selected by him in collaboration with the editor during the last months of Tversky's life. It is divided into three sections: Similarity, Judgment, and Preferences. The Preferences section is subdivided into Probabilistic Models of Choice, Choice under Risk and Uncertainty, and Contingent Preferences. Included are several articles written with his frequent collaborator, Nobel Prize-winning economist Daniel Kahneman.