000			01387nam a2200193Ia 4500
999			_c176758 _d176758
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008			200208s9999 xx 000 0 und d
020			_a9780521284141
082			_a153.46 JUD
100			_a"Kahneman,Daniel"
245		0	_aJudgment under uncertainty : heuristics and biases
260			_aNew York
260			_bCambridge University Press
260			_c2008
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			_aPsychology
942			_cB _2ddc