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(Ebook) AI-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory (International Series in Operations Research & Management Science, 345) by Louis Anthony Cox Jr. ISBN 9783031320125, 3031320123

  • SKU: EBN-50813044
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Instant download (eBook) AI-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory (International Series in Operations Research & Management Science, 345) after payment.
Authors:Louis Anthony Cox Jr.
Pages:456 pages.
Year:2023
Editon:1st ed. 2023
Publisher:Springer
Language:english
File Size:6.83 MB
Format:epub
ISBNS:9783031320125, 3031320123
Categories: Ebooks

Product desciption

(Ebook) AI-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory (International Series in Operations Research & Management Science, 345) by Louis Anthony Cox Jr. ISBN 9783031320125, 3031320123

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.
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