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- 460 Seiten
- 17 Lesestunden
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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.
Buchkauf
AI-ML for Decision and Risk Analysis, Louis Anthony Cox Jr.
- Sprache
- Erscheinungsdatum
- 2023
- product-detail.submit-box.info.binding
- (Hardcover)
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- Untertitel
- Challenges and Opportunities for Normative Decision Theory
- Sprache
- Englisch
- Autor*innen
- Louis Anthony Cox Jr.
- Erscheinungsdatum
- 2023
- Einband
- Hardcover
- Seitenzahl
- 460
- ISBN13
- 9783031320125
- Reihe
- Schlagwörter
- Sachbücher, Handel, Wirtschaft & Management, Wissenschaft & Mathematik, Mathematik
- Beschreibung
- 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.