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portada Ai-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory
Type
Physical Book
Author
Publisher
Language
English
Pages
433
Format
Hardcover
Dimensions
23.4 x 15.6 x 2.5 cm
Weight
0.82 kg.
ISBN13
9783031320125
Categories

Ai-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory

Louis Anthony Cox Jr (Author) · Springer · Hardcover

Ai-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory - Cox Jr, Louis Anthony

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Synopsis "Ai-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory"

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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