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  • 1
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Springer
    UID:
    b3kat_BV048688048
    Format: 1 Online-Ressource (X, 304 p. 45 illus., 31 illus. in color)
    Edition: 1st ed. 2023
    ISBN: 9783031164156
    Series Statement: Studies in Systems, Decision and Control 217
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-16414-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-16416-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-16417-0
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    UID:
    gbv_1830643479
    Format: 1 Online-Ressource(X, 304 p. 45 illus., 31 illus. in color.)
    Edition: 1st ed. 2023.
    ISBN: 9783031164156
    Series Statement: Studies in Systems, Decision and Control 217
    Content: Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations -- Selfish Gene Theory Explains Oedipus Complex -- How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik -- Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions? -- Shall We Ignore All Intermediate Grades? -- Why ∞ is a Reasonable Symbol for Infinity -- What is 1/0 from the Practical Viewpoint: A Pedagogical Note -- Historical Diversity Through base-10 Representation of Mayan Maths.
    Content: 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.
    Additional Edition: ISBN 9783031164149
    Additional Edition: ISBN 9783031164163
    Additional Edition: ISBN 9783031164170
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031164149
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031164163
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031164170
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    almahu_9949435610102882
    Format: X, 304 p. 45 illus., 31 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031164156
    Series Statement: Studies in Systems, Decision and Control, 217
    Content: 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.
    Note: Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations -- Selfish Gene Theory Explains Oedipus Complex -- How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik -- Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions? -- Shall We Ignore All Intermediate Grades? -- Why ∞ is a Reasonable Symbol for Infinity -- What is 1/0 from the Practical Viewpoint: A Pedagogical Note -- Historical Diversity Through base-10 Representation of Mayan Maths.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031164149
    Additional Edition: Printed edition: ISBN 9783031164163
    Additional Edition: Printed edition: ISBN 9783031164170
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    edoccha_9961000641102883
    Format: 1 online resource (x, 304 pages) : , illustrations (some color).
    Edition: 1st ed. 2023.
    ISBN: 3-031-16415-6
    Series Statement: Studies in Systems, Decision and Control, 217
    Content: 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.
    Note: Includes index. , Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations -- Selfish Gene Theory Explains Oedipus Complex -- How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik -- Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions? -- Shall We Ignore All Intermediate Grades? -- Why ∞ is a Reasonable Symbol for Infinity -- What is 1/0 from the Practical Viewpoint: A Pedagogical Note -- Historical Diversity Through base-10 Representation of Mayan Maths.
    Additional Edition: Print version: Ceberio, Martine Decision Making under Uncertainty and Constraints Cham : Springer International Publishing AG,c2023 ISBN 9783031164149
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    UID:
    almafu_9961000641102883
    Format: 1 online resource (x, 304 pages) : , illustrations (some color).
    Edition: 1st ed. 2023.
    ISBN: 3-031-16415-6
    Series Statement: Studies in Systems, Decision and Control, 217
    Content: 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.
    Note: Includes index. , Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations -- Selfish Gene Theory Explains Oedipus Complex -- How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik -- Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions? -- Shall We Ignore All Intermediate Grades? -- Why ∞ is a Reasonable Symbol for Infinity -- What is 1/0 from the Practical Viewpoint: A Pedagogical Note -- Historical Diversity Through base-10 Representation of Mayan Maths.
    Additional Edition: Print version: Ceberio, Martine Decision Making under Uncertainty and Constraints Cham : Springer International Publishing AG,c2023 ISBN 9783031164149
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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