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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.
- Lingua
- Pubblicato
- 2023
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- (Copertina rigida)
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- Sottotitolo
- Challenges and Opportunities for Normative Decision Theory
- Lingua
- Inglese
- Autori
- Louis Anthony Cox Jr.
- Pubblicato
- 2023
- Formato
- Copertina rigida
- Pagine
- 460
- ISBN13
- 9783031320125
- Serie
- Descrizione
- 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.