Advances in Decision Making Under Risk and Uncertainty
β Scribed by Mohammed Abdellaoui, John D. Hey (eds.)
- Publisher
- Springer
- Year
- 2008
- Tongue
- English
- Leaves
- 245
- Series
- Theory and Decision Library C: 42
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Whether we like it or not we all feel that the world is uncertain. From choosing a new technology to selecting a job, we rarely know in advance what outcome will result from our decisions. Unfortunately, the standard theory of choice under uncertainty developed in the early forties and fifties turns out to be too rigid to take many tricky issues of choice under uncertainty into account. The good news is that we have now moved away from the early descriptively inadequate modeling of behavior. This book brings the reader into contact with the accomplished progress in individual decision making through the most recent contributions to uncertainty modeling and behavioral decision making. It also introduces the reader into the many subtle issues to be resolved for rational choice under uncertainty.
β¦ Table of Contents
Cover......Page 1
THEORY AND DECISION LIBRARY - SERIES C: GAME THEORY, MATHEMATICAL PROGRAMMING AND OPERATIONS RESEARCH VOLUME 42......Page 2
Advances in Decision Making Under Risk and Uncertainty......Page 3
Copyright - ISBN: 9783540684367......Page 4
Preface......Page 5
Contents......Page 9
Contributors......Page 11
Part I: Uncertainty and Information Modeling......Page 14
Revealed Ambiguity and Its Consequences: Updating......Page 15
Dynamic Decision Making When Risk Perception Depends on Past Experience......Page 31
Representation of Conditional Preferences Under Uncertainty......Page 45
Subjective Information in Decision Making and Communication......Page 60
Part II: Risk Modeling......Page 74
Sensitivity Analysis in Decision Making: A Consistent Approach......Page 75
Alternation Bias and the Parameterization of Cumulative Prospect Theory......Page 100
Proposing a Normative Basis for the S-Shaped Value Function......Page 117
Part III: Experimental Individual Decision Making......Page 127
Individual Choice from a Convex Lottery Set: Experimental Evidence......Page 128
Temptations and Dynamic Consistency......Page 143
Monty Hall's Three Doors for Dummies......Page 157
Overconfidence in Predictions as an Effect of Desirability Bias......Page 169
Part IV: Experimental Interactive Decision Making......Page 187
Granny Versus Game Theorist: Ambiguity in Experimental Games......Page 188
Guessing Games and People Behaviours: What Can We Learn?......Page 210
The Determinants of Individual Behaviour in Network Formation: Some Experimental Evidence......Page 223
π SIMILAR VOLUMES
This book is devoted to investment decision-making under uncertainty. The book covers three basic approaches to this process: the stochastic dominance approach; the mean-variance approach; and the non-expected utility approach, focusing on prospect theory and its modified version, cumulative prospec
In every decision context there are things we know and things we do not know. Risk analysis uses science and the best available evidence to assess what we knowβand it is intentional in the way it addresses the importance of the things we donβt know. Primer on Risk Analysis: Decision Making Under Unc
<P>In every decision context there are things we know and things we do not know. Risk analysis uses science and the best available evidence to assess what we knowβand it is intentional in the way it addresses the importance of the things we donβt know. <STRONG>Principles of Risk Analysis: Decision M
<P>In every decision context there are things we know and things we do not know. Risk analysis uses science and the best available evidence to assess what we knowβand it is intentional in the way it addresses the importance of the things we donβt know. <STRONG>Primer on Risk Analysis: Decision Makin