Judgment Under Uncertainty: Heuristics and Biases

Kahneman, Daniel [Editor]; Slovic, Paul [Editor]; Tversky, Amos [Editor]

ISBN 10: 0521284147 / ISBN 13: 9780521284141

Edité par Cambridge University Press, New York, 1982

A propos de cet article

Unread book in excellent condition. Spine tight with no creases. Pages clean and unmarked. Crease on front cover, lower corner.

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.

N° de réf. du vendeur ABE-1778429797195

Détails bibliographiques

• Titre: Judgment Under Uncertainty: Heuristics and Biases
• Éditeur: Cambridge University Press, New York
• Date de parution: 1982
• Langue: anglais
• ISBN à 10 chiffres: 0521284147
• ISBN à 13 chiffres: 9780521284141
• Reliure: Couverture souple
• Édition: Edition originale
• État de l'article: Très bon
• Dimensions: 3,66 L x 15,24 H x 22,86 P (centimètres) 3,66 centimètres de largeur par 15,24 centimètres de hauteur par 22,86 centimètres de profondeur
• Poids: 1,786 livre

A propos de ce titre

Synopsis

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.