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Judgment Under Uncertainty by Daniel Kahneman,Paul Slovic,Amos Tversky Pdf
Thirty-five chapters describe various judgmental heuristics and the biases they produce, not only in laboratory experiments, but in important social, medical, and political situations as well. Most review multiple studies or entire subareas rather than describing single experimental studies.
An Analysis of Amos Tversky and Daniel Kahneman's Judgment Under Uncertainty by Camille Morvan,William J. Jenkins Pdf
Amos Tversky and Daniel Kahneman’s 1974 paper ‘Judgement Under Uncertainty: Heuristics and Biases’ is a landmark in the history of psychology. Though a mere seven pages long, it has helped reshape the study of human rationality, and had a particular impact on economics – where Tversky and Kahneman’s work helped shape the entirely new sub discipline of ‘behavioral economics.’ The paper investigates human decision-making, specifically what human brains tend to do when we are forced to deal with uncertainty or complexity. Based on experiments carried out with volunteers, Tversky and Kahneman discovered that humans make predictable errors of judgement when forced to deal with ambiguous evidence or make challenging decisions. These errors stem from ‘heuristics’ and ‘biases’ – mental shortcuts and assumptions that allow us to make swift, automatic decisions, often usefully and correctly, but occasionally to our detriment. The paper’s huge influence is due in no small part to its masterful use of high-level interpretative and analytical skills – expressed in Tversky and Kahneman’s concise and clear definitions of the basic heuristics and biases they discovered. Still providing the foundations of new work in the field 40 years later, the two psychologists’ definitions are a model of how good interpretation underpins incisive critical thinking.
The Oxford Handbook of Cognitive Psychology by Daniel Reisberg Pdf
This handbook is an essential, comprehensive resource for students and academics interested in topics in cognitive psychology, including perceptual issues, attention, memory, knowledge representation, language, emotional influences, judgment, problem solving, and the study of individual differences in cognition.
Utility, Probability, and Human Decision Making by Dirk Wendt,C.A. Vlek Pdf
Human decision making involves problems which are being studied with increasing interest and sophistication. They range from controversial political decisions via individual consumer decisions to such simple tasks as signal discriminations. Although it would seem that decisions have to do with choices among available actions of any kind, there is general agreement that decision making research should pertain to choice prob lems which cannot be solved without a predecisional stage of finding choice alternatives, weighing evidence, and judging values. The ultimate objective of scientific research on decision making is two-fold: (a) to develop a theoretically sound technology for the optimal solution of decision problems, and (b) to formulate a descriptive theory of human decision making. The latter may, in tum, protect decision makers from being caught in the traps of their own limitations and biases. Recently, in decision making research the strong emphasis on well defined laboratory tasks is decreasing in favour of more realistic studies in various practical settings. This may well have been caused by a growing awareness of the fact that decision-behaviour is strongly determined by situational factors, which makes it necessary to look into processes of interaction between the decision maker and the relevant task environ ment. Almost inevitably there is a parallel shift of interest towards problems of utility measurement and the evaluation of consequences.
Choices, Values, and Frames by Daniel Kahneman,Amos Tversky Pdf
This book presents the definitive exposition of 'prospect theory', a compelling alternative to the classical utility theory of choice. Building on the 1982 volume, Judgement Under Uncertainty, this book brings together seminal papers on prospect theory from economists, decision theorists, and psychologists, including the work of the late Amos Tversky, whose contributions are collected here for the first time. While remaining within a rational choice framework, prospect theory delivers more accurate, empirically verified predictions in key test cases, as well as helping to explain many complex, real-world puzzles. In this volume, it is brought to bear on phenomena as diverse as the principles of legal compensation, the equity premium puzzle in financial markets, and the number of hours that New York cab drivers choose to drive on rainy days. Theoretically elegant and empirically robust, this volume shows how prospect theory has matured into a new science of decision making.
Judgment and Decision Making by Terry Connolly,Hal R. Arkes,Kenneth R. Hammond Pdf
This work examines issues such as medical diagnosis, weather forecasting, labour negotiations, risk, public policy, business strategy, eyewitnesses, and jury decisions. This is a revision of Arkes and Hammond's 1986 collection of papers on judgment and decision-making. Updated and extended, the focus of this volume is interdisciplinary and applied.
In this book, Adrian Vermeule shows that any approach to legal interpretation rests on institutional and empirical premises about the capacities of judges and the systemic effects of their rulings. He argues that legal interpretation is above all an exercise in decisionmaking under severe empirical uncertainty.
Anthony O'Hagan,Caitlin E. Buck,Alireza Daneshkhah,J. Richard Eiser,Paul H. Garthwaite,David J. Jenkinson,Jeremy E. Oakley,Tim Rakow
Author : Anthony O'Hagan,Caitlin E. Buck,Alireza Daneshkhah,J. Richard Eiser,Paul H. Garthwaite,David J. Jenkinson,Jeremy E. Oakley,Tim Rakow Publisher : John Wiley & Sons Page : 338 pages File Size : 42,7 Mb Release : 2006-08-30 Category : Mathematics ISBN : 9780470033302
Uncertain Judgements by Anthony O'Hagan,Caitlin E. Buck,Alireza Daneshkhah,J. Richard Eiser,Paul H. Garthwaite,David J. Jenkinson,Jeremy E. Oakley,Tim Rakow Pdf
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the risk of terrorist attacks, where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain Judgements introduces the area, before guiding the reader through the study of appropriate elicitation methods, illustrated by a variety of multi-disciplinary examples. This is achieved by: Presenting a methodological framework for the elicitation of expert knowledge incorporating findings from both statistical and psychological research. Detailing techniques for the elicitation of a wide range of standard distributions, appropriate to the most common types of quantities. Providing a comprehensive review of the available literature and pointing to the best practice methods and future research needs. Using examples from many disciplines, including statistics, psychology, engineering and health sciences. Including an extensive glossary of statistical and psychological terms. An ideal source and guide for statisticians and psychologists with interests in expert judgement or practical applications of Bayesian analysis, Uncertain Judgements will also benefit decision-makers, risk analysts, engineers and researchers in the medical and social sciences.
Basic Problems in Methodology and Linguistics by Robert E. Butts,Jaakko Hintikka Pdf
The Fifth International Congress of Logic, Methodology and Philosophy of Science was held at the University of Western Ontario, London, Canada, 27 August to 2 September 1975. The Congress was held under the auspices of the International Union of History and Philosophy of Science, Division of Logic, Methodology and Philosophy of Science, and was sponsored by the National Research Council of Canada and the University of Western Ontario. As those associated closely with the work of the Division over the years know well, the work undertaken by its members varies greatly and spans a number of fields not always obviously related. In addition, the volume of work done by first rate scholars and scientists in the various fields of the Division has risen enormously. For these and related reasons it seemed to the editors chosen by the Divisional officers that the usual format of publishing the proceedings of the Congress be abandoned in favour of a somewhat more flexible, and hopefully acceptable, method of pre sentation. Accordingly, the work of the invited participants to the Congress has been divided into four volumes appearing in the University of Western Ontario Series in Philosophy of Science. The volumes are entitled, Logic, Foundations of Mathematics and Computability Theory, Foun dational Problems in the Special Sciences, Basic Problems in Methodol ogy and Linguistics, and Historical and Philosophical Dimensions of Logic, Methodology and Philosophy of Science.
Some of the best and most influential papers by Amos Tversky, one of the most brilliant social science thinkers of the twentieth century. Amos Tversky (1937–1996) was a towering figure in the cognitive and decision sciences. His work was ingenious, exciting, and influential, spanning topics from intuition to statistics to behavioral economics. His long and extraordinarily productive collaboration with his friend and colleague Daniel Kahneman was the subject of Michael Lewis's best-selling book, The Undoing Project: A Friendship that Changed Our Minds. The Essential Tversky offers a selection of Tversky's best, most influential and accessible papers, “classics” chosen to capture the essence of Tversky's thought. The impact of Tversky's work is far reaching and long-lasting. In 2002, Kahneman, who drew on their joint work in his much-praised 2013 book, Thinking, Fast and Slow (and who contributes an afterword to this collection), was awarded the Nobel Prize in Economics for work done with Tversky. In The Undoing Project, Lewis (who contributes a foreword to this collection) describes his discovery that Tversky and Kahneman's thinking laid the foundation for Moneyball, his own ode to number-crunching. The papers collected in The Essential Tversky cover topics that include cognitive and perceptual bias, misguided beliefs, inconsistent preferences, risky choice and loss aversion decisions, and psychological common sense. Together, they offer nonspecialist readers an introduction to one of the most brilliant social science thinkers of the twentieth century.
Rational Choice in an Uncertain World by Reid Hastie,Robyn M. Dawes Pdf
In the Second Edition of Rational Choice in an Uncertain World the authors compare the basic principles of rationality with actual behaviour in making decisions. They describe theories and research findings from the field of judgment and decision making in a non-technical manner, using anecdotes as a teaching device. Intended as an introductory textbook for advanced undergraduate and graduate students, the material not only is of scholarly interest but is practical as well. The Second Edition includes: - more coverage on the role of emotions, happiness, and general well-being in decisions - a summary of the new research on the neuroscience of decision processes - more discussion of the adaptive value of (non-rational heuristics) - expansion of the graphics for decision trees, probability trees, and Venn diagrams.
David R. Mandel,Gorka Navarrete,Nathan Dieckmann,Jonathan D. Nelson
Author : David R. Mandel,Gorka Navarrete,Nathan Dieckmann,Jonathan D. Nelson Publisher : Frontiers Media SA Page : 224 pages File Size : 45,6 Mb Release : 2019-09-26 Category : Electronic ISBN : 9782889630349
Judgment and Decision Making Under Uncertainty: Descriptive, Normative, and Prescriptive Perspectives by David R. Mandel,Gorka Navarrete,Nathan Dieckmann,Jonathan D. Nelson Pdf
Decision Making Under Uncertainty by Mykel J. Kochenderfer Pdf
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.