Judgment under Uncertainty

Heuristics and Biases

by Daniel Kahneman, Paul Slovic, Amos Tversky

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.
  • Cambridge University Press; April 1982
  • ISBN: 9781107266070
  • Read online, or download in secure PDF or secure ePub format
  • Title: Judgment under Uncertainty
  • Author: Daniel Kahneman (ed.); Paul Slovic (ed.); Amos Tversky (ed.)
  • Imprint: Cambridge University Press

In The Press

"The papers chosen for this volume are an excellent collection, generally well-written and fascinating." Journal of Economic Literature