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- 460 pages
- 17 hours of reading
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Recent advancements in decision-making and risk analysis are explored, highlighting the integration of artificial intelligence (AI) and machine learning (ML) with classical decision analysis concepts. The book addresses the complexities of real-world applications, such as skill acquisition and unpredictable outcomes, enhancing normative decision theory's practicality. It emphasizes the evolution of AI/ML technologies to navigate uncertain and dynamic environments, ultimately leading to more effective decision-making frameworks.
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AI-ML for Decision and Risk Analysis, Louis Anthony Cox Jr.
- Language
- Released
- 2024
- product-detail.submit-box.info.binding
- (Paperback)
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- Subtitle
- Challenges and Opportunities for Normative Decision Theory
- Language
- English
- Authors
- Louis Anthony Cox Jr.
- Publisher
- Springer International Publishing
- Released
- 2024
- Format
- Paperback
- Pages
- 460
- ISBN13
- 9783031320156
- Series
- Description
- Recent advancements in decision-making and risk analysis are explored, highlighting the integration of artificial intelligence (AI) and machine learning (ML) with classical decision analysis concepts. The book addresses the complexities of real-world applications, such as skill acquisition and unpredictable outcomes, enhancing normative decision theory's practicality. It emphasizes the evolution of AI/ML technologies to navigate uncertain and dynamic environments, ultimately leading to more effective decision-making frameworks.