Overview
- Analyzes the general problem of decision making under uncertainty
- Demonstrates the applications to geosciences, teaching, and computing
- Provides the main ideas of decision making
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 218)
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Table of contents (26 chapters)
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Front Matter
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How People Actually Make Decisions
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Front Matter
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Applications to Geosciences
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Front Matter
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Keywords
About this book
This book describes new techniques for making decisions in situations with uncertainty and new applications of decision-making techniques.
The main emphasis is on situations when it is difficult to decrease uncertainty. For example, it is very difficult to accurately predict human economic behavior, so in economics, it is very important to take this uncertainty into account when making decisions. Other areas where it is difficult to decrease uncertainty are geosciences and teaching. The book analyzes the general problem of decision making and shows how its results can be applied to economics, geosciences, and teaching. Since all these applications involve computing, the book also shows how these results can be applied to computing, including deep learning and quantum computing.
The book is recommended to researchers, practitioners, and students who want to learn more about decision making under uncertainty—and who want to work on remaining challenges.
Authors and Affiliations
Bibliographic Information
Book Title: Decision Making Under Uncertainty, with a Special Emphasis on Geosciences and Education
Authors: Laxman Bokati, Vladik Kreinovich
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-031-26086-5
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: 978-3-031-26085-8Published: 22 March 2023
Softcover ISBN: 978-3-031-26088-9Published: 23 March 2024
eBook ISBN: 978-3-031-26086-5Published: 21 March 2023
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: IX, 210
Number of Illustrations: 10 b/w illustrations
Topics: Computational Intelligence, Earth Sciences, general, Data Engineering