<p><span>This book explains and illustrates recent developments and advances in decision-making and risk analysis. It demonstrates how artificial intelligence (AI) and machine learning (ML) have not only benefitted from classical decision analysis concepts such as expected utility maximization but h
Decision Theory and Decision Analysis: Trends and Challenges
β Scribed by Howard Raiffa (auth.), Sixto RΓos (eds.)
- Publisher
- Springer Netherlands
- Year
- 1994
- Tongue
- English
- Leaves
- 294
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Decision Theory and Decision Analysis: Trends and Challenges is divided into three parts. The first part, overviews, provides state-of-the-art surveys of various aspects of decision analysis and utility theory. The second part, theory and foundations, includes theoretical contributions on decision-making under uncertainty, partial beliefs and preferences. The third section, applications, reflects the real possibilities of recent theoretical developments such as non-expected utility theories, multicriteria decision techniques, and how these improve our understanding of other areas including artificial intelligence, economics, and environmental studies.
β¦ Table of Contents
Front Matter....Pages i-xv
Front Matter....Pages 1-1
The Prescriptive Orientation of Decision Making: A Synthesis of Decision Analysis, Behavioral Decision Making, and Game Theory....Pages 3-13
A Perspective on Recent Developments in Utility Theory....Pages 15-31
Decision Influence Diagrams and Their Uses....Pages 33-51
A Pyramid of Decision Approaches....Pages 53-78
Front Matter....Pages 79-79
Direct Decision Making....Pages 81-90
On Some Conditions for the Ellsberg Phenomenon....Pages 91-101
On the Foundations of Robust Decision Making....Pages 103-111
Rational Comparisons and Numerical Representations....Pages 113-126
Robust Decision Making as a Decision Making Aid Under Uncertainty....Pages 127-138
Topological Characterizations of Posets....Pages 139-145
Inference in Multidimensional Gaussian Processes....Pages 147-159
Front Matter....Pages 161-161
An Explanation and Characterization for the Buying of Lotteries....Pages 163-175
Stochastic Dominance for Elliptical Distributions: Applications in Bayesian Inference....Pages 177-192
The Nearly Perfect Auctioneer: Cryptographic Protocols for Auctions and Bidding....Pages 193-205
Optimal Hypothesis Testing with a Vague Prior....Pages 207-222
Multiple Criteria Decision Making: Some Connections with Economic Analysis....Pages 223-232
Experiments in Robust Decision Making....Pages 233-242
Heuristic Solving of NP-Complete Job-Shop Scheduling Problems by Multicriteria Optimisation....Pages 243-258
Multiple Choices in an Oligopolistic Market: Explicative Models and Neural Networks....Pages 259-277
Expert-Based Value Functions for Soil Pollutants: Assessment and Aggregation of Responses....Pages 279-294
β¦ Subjects
Operation Research/Decision Theory; Microeconomics
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