Decision Making Under Uncertainty, with a Special Emphasis on Geosciences and Education

Lieferzeit: Lieferbar innerhalb 14 Tagen

181,89 

Studies in Systems, Decision and Control 218

ISBN: 3031260856
ISBN 13: 9783031260858
Autor: Bokati, Laxman/Kreinovich, Vladik
Verlag: Springer Verlag GmbH
Umfang: ix, 210 S., 10 s/w Illustr., 210 p. 10 illus.
Erscheinungsdatum: 22.03.2023
Auflage: 1/2023
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 7814830 Kategorie:

Beschreibung

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 uncertaintyand who want to work on remaining challenges.

Herstellerkennzeichnung:


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E-Mail: juergen.hartmann@springer.com

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