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- 460 pages
- 17 hours of reading
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Recent advancements in decision-making and risk analysis are explored through the lens of artificial intelligence and machine learning. The book highlights how these technologies enhance classical decision analysis by addressing real-world complexities such as skill acquisition, uncertainty in implementation, and unpredictable outcomes. By confronting these challenges, AI and ML contribute to a more practical approach to normative decision theory, leading to improved strategies for navigating uncertain and evolving environments in decision-making processes.
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AI-ML for Decision and Risk Analysis, Louis Anthony Cox Jr.
- Language
- Released
- 2023
- product-detail.submit-box.info.binding
- (Hardcover)
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- Subtitle
- Challenges and Opportunities for Normative Decision Theory
- Language
- English
- Authors
- Louis Anthony Cox Jr.
- Publisher
- Springer International Publishing
- Released
- 2023
- Format
- Hardcover
- Pages
- 460
- ISBN13
- 9783031320125
- Series
- Description
- Recent advancements in decision-making and risk analysis are explored through the lens of artificial intelligence and machine learning. The book highlights how these technologies enhance classical decision analysis by addressing real-world complexities such as skill acquisition, uncertainty in implementation, and unpredictable outcomes. By confronting these challenges, AI and ML contribute to a more practical approach to normative decision theory, leading to improved strategies for navigating uncertain and evolving environments in decision-making processes.