Overview
- Shows how to make decisions in realistic situations when we have both uncertainty and constraints
- Explains why these techniques work well in some cases and not so well in others
- Helps practitioners decide whether a technique is appropriate for a given situation
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 217)
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Table of contents (41 chapters)
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Applications to Arts
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Applications to Biosciences
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Applications to Education
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Applications to Engineering
Keywords
About this book
This book shows, on numerous examples, how to make decisions in realistic situations when we have both uncertainty and constraints. In most these situations, the book's emphasis is on the why-question, i.e., on a theoretical explanation for empirical formulas and techniques. Such explanations are important: they help understand why these techniques work well in some cases and not so well in others, and thus, help practitioners decide whether a technique is appropriate for a given situation.
Example of applications described in the book ranges from science (biosciences, geosciences, and physics) to electrical and civil engineering, education, psychology and decision making, and religion—and, of course, include computer science, AI (in particular, eXplainable AI), and machine learning. The book can be recommended to researchers and students in these application areas.
Many of the examples use general techniques that can be used in other application areas as well, so it is also useful for practitioners and researchers in other areas who are looking for possible theoretical explanations of empirical formulas and techniques.Editors and Affiliations
Bibliographic Information
Book Title: Decision Making Under Uncertainty and Constraints
Book Subtitle: A Why-Book
Editors: Martine Ceberio, Vladik Kreinovich
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-031-16415-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-16414-9Published: 04 January 2023
Softcover ISBN: 978-3-031-16417-0Published: 05 January 2024
eBook ISBN: 978-3-031-16415-6Published: 03 January 2023
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: X, 304
Number of Illustrations: 14 b/w illustrations, 31 illustrations in colour