000			01400 a2200193 4500
005			20251112151229.0
020			_a9780521284141
082			_a153.46 KAH
100			_aKahneman, Daniel
245			_aJudgment under Uncertainty: Heuristics and Biases
260			_bCambridge University Press _c1982 _aNew York
300			_a555
520			_aThe 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
650			_aPhilosophy
650			_aBehavioral economics
700			_aTversky, Amos
700			_aSlovic, Paul
942			_cBK _2ddc
999			_c51933 _d51933