Decision Making Under Uncertainty, with a Special Emphasis on Geosciences and Education
- Indbinding:
- Hardback
- Sideantal:
- 220
- Udgivet:
- 22. marts 2023
- Udgave:
- 23001
- Størrelse:
- 160x18x241 mm.
- Vægt:
- 500 g.
- 8-11 hverdage.
- 21. november 2024
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Decision Making Under Uncertainty, with a Special Emphasis on Geosciences and Education
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.
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.
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