Decision making under uncertainty and constraints : a why-book / Martine Ceberio, Vladik Kreinovich, editors.
Ceberio, Martine, editor.; Kreinovich, Vladik, editor.
2023
HD30.23 .D43 2023
Available Online

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Title Decision making under uncertainty and constraints : a why-book / Martine Ceberio, Vladik Kreinovich, editors.
ISBN 9783031164156 electronic book
3031164156 electronic book
9783031164149
3031164148
DOI https://doi.org/10.1007/978-3-031-16415-6
Published Cham : Springer, [2023]
Copyright ©2023
Language English
Description 1 online resource (x, 304 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-3-031-16415-6 doi
Call Number HD30.23 .D43 2023
Dewey Decimal Classification 658.4/033
Summary 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 religionand, 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.
Access Note Access limited to authorized users.
Added Author Ceberio, Martine, editor.
Kreinovich, Vladik, editor.
Series Studies in systems, decision and control ; v. 217.
Available in Other Form Print version: 9783031164149
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Intro
Preface
Contents
Applications to Arts
Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations
1 Formulation of the Problem
2 What Is Beauty-Birkhoff's Approach and Its Algorithm-Related Formalization
3 How This Explains the Need for Vagueness
4 Why Uniqueness: An Algorithmic Explanation
References
Applications to Biosciences
Selfish Gene Theory Explains Oedipus Complex
1 Oedipus Complex: A Brief Reminder
2 Our Explanation
References
Applications to Education

How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik
1 Introduction
2 How Mathematics (And Other Disciplines) is Usually Taught: A Brief Reminder
3 What Verebeichik Wanted and What He Therefore Did
4 Let Us Summarize
Reference
Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions?
1 Why 70/100 Is Satisfactory?
2 Why 40-40-20 Proportion for Research, Teaching, and Service: First Explanation
3 Why 40-40-20 Proportion for Research, Teaching, and Service: Second Explanation

4 Why 50-30-20 Proportion for Research Universities: Two Explanations
5 Why Five Letter Grades
6 Why Excellent Is Usually Close to 90
7 How to Allocate Grades to Tests, Homeworks, etc.
References
Shall We Ignore All Intermediate Grades?
1 Formulation of the Problem
2 Analysis of the Problem and the Resulting Conclusion
Reference
Why normal infinityinfty is a Reasonable Symbol for Infinity
1 Formulation of the Problem
2 Our Explanation
3 Real-Life Examples of an normal infinityinfty-Like Trajectory
References

What Is 1/0 from the Practical Viewpoint: A Pedagogical Note
1 Formulation of the Problem
2 Practical Problem
3 Idealized Setting
4 Realistic Setting
Reference
Historical Diversity Through Base-10 Representation of Mayan Math
1 Introduction
2 Base-10 Representation
3 Addition
4 Subtraction
5 Multiplication
6 Discussion
References
Why Base-20, Base-40, and Base-60 Number Systems?
1 Formulation of the Problem
2 Analysis of the Problem and the Resulting Explanation
References
Why Chomsky Normal Form: A Pedagogical Note

1 Formulation of the Problem: Why Chomsky Normal Form?
2 Analysis of the Problem and the Resulting Explanation
Reference
How to Best Write Research Papers: Basic English? Sophisticated English?
1 Formulation of the Problem
2 Towards Formulating the Problem in Precise Terms
3 So Which Level Is Optimal: Towards the Answer
References
Applications to Engineering
How to Select Typical Objects
1 Formulation of the Problem
2 Main Idea and How We Can Implement It
3 Resulting Algorithm
References

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