000			01582 a2200241 4500
003			OSt
005			20220606105359.0
008			220606b xxu||||| |||| 00| 0 eng d
020			_a9780521284141
040			_cIIT Kanpur
041			_aeng
082			_a153.46 _bJ89
245			_aJudgment under uncertainty _bheuristics and biases _cedited by Daniel Kahneman, Paul Slovic and Amos Tversky
260			_bCambridge University Press _c1982 _aCambridge
300			_axiii, 555p
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			_aJudgment
650			_aHeuristic
700			_aKahneman, Daniel [ed.]
700			_aSlovic, Paul [ed.]
700			_aTversky, Amos [ed.]
942			_cBK
999			_c565083 _d565083