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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.
- Idioma
- Publicado en
- 2023
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- Subtítulo
- Challenges and Opportunities for Normative Decision Theory
- Idioma
- Inglés
- Autores
- Louis Anthony Cox Jr.
- Editorial
- Springer International Publishing
- Publicado en
- 2023
- Formato
- Tapa dura
- Páginas
- 460
- ISBN13
- 9783031320125
- Serie
- Etiquetas
- No ficción, Comercio, Negocios & Gestión, Ciencia y Matemáticas, Matemáticas
- Descripción
- 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.