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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.
- Idioma
- Publicado en
- 2024
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- (Tapa blanda)
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- Título
- AI-ML for Decision and Risk Analysis
- Subtítulo
- Challenges and Opportunities for Normative Decision Theory
- Idioma
- Inglés
- Autores
- Louis Anthony Cox Jr.
- Editorial
- Springer International Publishing
- Publicado en
- 2024
- Formato
- Tapa blanda
- Páginas
- 460
- ISBN13
- 9783031320156
- Serie
- Etiquetas
- No ficción, Comercio, Negocios & Gestión, Ciencia y Matemáticas, Matemáticas
- Descripción
- 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.