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AI-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory: 345 (International Series in Operations Research & Management Science, 345) - Hardcover
- PublisherSpringer
- Publication date2023
- ISBN 10 3031320123
- ISBN 13 9783031320125
- BindingHardcover
- Edition number1
- Number of pages456
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AI-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory (International Series in Operations Research & Management Science, 345) by Cox Jr., Louis Anthony [Hardcover ]
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Book Description Hardcover. Condition: new. Seller Inventory # 9783031320125
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AI-ML for Decision and Risk Analysis
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(2023)
ISBN 10: 3031320123
ISBN 13: 9783031320125
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights recent advances in decision-making and risk analysisElaborates the benefit of modern computational techniques for dealing with realistic complexitiesExplains challenges and opportunities of normative decision theory under current. Seller Inventory # 848651599
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AI-ML for Decision and Risk Analysis
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Springer International Publishing Jul 2023
(2023)
ISBN 10: 3031320123
ISBN 13: 9783031320125
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Book Description Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explains and illustrates recent developments and advances in decision-making and risk analysis. It demonstrates how artificial intelligence (AI) and machine learning (ML) have not only benefitted from classical decision analysis concepts such as expected utility maximization but have also contributed to making normative decision theory more useful by forcing it to confront realistic complexities. These include skill acquisition, uncertain and time-consuming implementation of intended actions, open-world uncertainties about what might happen next and what consequences actions can have, and learning to cope effectively with uncertain and changing environments. The result is a more robust and implementable technology for AI/ML-assisted decision-making.The book is intended to inform a wide audience in related applied areas and to provide a fun and stimulating resource for students, researchers, and academics in data science and AI-ML, decision analysis, and other closely linked academic fields. It will also appeal to managers, analysts, decision-makers, and policymakers in financial, health and safety, environmental, business, engineering, and security risk management. 460 pp. Englisch. Seller Inventory # 9783031320125
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AI-ML for Decision and Risk Analysis (Hardcover)
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Springer International Publishing AG, Cham
(2023)
ISBN 10: 3031320123
ISBN 13: 9783031320125
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Book Description Hardcover. Condition: new. Hardcover. This book explains and illustrates recent developments and advances in decision-making and risk analysis. It demonstrates how artificial intelligence (AI) and machine learning (ML) have not only benefitted from classical decision analysis concepts such as expected utility maximization but have also contributed to making normative decision theory more useful by forcing it to confront realistic complexities. These include skill acquisition, uncertain and time-consuming implementation of intended actions, open-world uncertainties about what might happen next and what consequences actions can have, and learning to cope effectively with uncertain and changing environments. The result is a more robust and implementable technology for AI/ML-assisted decision-making.The book is intended to inform a wide audience in related applied areas and to provide a fun and stimulating resource for students, researchers, and academics in data science and AI-ML, decision analysis, and other closely linked academic fields. It will also appeal to managers, analysts, decision-makers, and policymakers in financial, health and safety, environmental, business, engineering, and security risk management. The result is a more robust and implementable technology for AI/ML-assisted decision-making.The book is intended to inform a wide audience in related applied areas and to provide a fun and stimulating resource for students, researchers, and academics in data science and AI-ML, decision analysis, and other closely linked academic fields. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783031320125
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AI-ML for Decision and Risk Analysis : Challenges and Opportunities for Normative Decision Theory
Published by
Springer International Publishing
(2023)
ISBN 10: 3031320123
ISBN 13: 9783031320125
New
Hardcover
Quantity: 1
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Book Description Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains and illustrates recent developments and advances in decision-making and risk analysis. It demonstrates how artificial intelligence (AI) and machine learning (ML) have not only benefitted from classical decision analysis concepts such as expected utility maximization but have also contributed to making normative decision theory more useful by forcing it to confront realistic complexities. These include skill acquisition, uncertain and time-consuming implementation of intended actions, open-world uncertainties about what might happen next and what consequences actions can have, and learning to cope effectively with uncertain and changing environments. The result is a more robust and implementable technology for AI/ML-assisted decision-making.The book is intended to inform a wide audience in related applied areas and to provide a fun and stimulating resource for students, researchers, and academics in data science and AI-ML, decision analysis, and other closely linked academic fields. It will also appeal to managers, analysts, decision-makers, and policymakers in financial, health and safety, environmental, business, engineering, and security risk management. Seller Inventory # 9783031320125
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