Name: Ai-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory (en Inglés)
Price: 245040.00 CLP
Availability: InStock
Author: Cox Jr, Louis Anthony
ISBN: 9783031320125

portada Ai-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory (en Inglés)

Formato

Libro Físico

Autor

Louis Anthony Cox Jr

Editorial

Springer

Idioma

Inglés

N° páginas

433

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 2.5 cm

Peso

0.82 kg.

ISBN13

9783031320125

Categorías

Evaluación de riesgos
Seguros
Investigación operativa
Inteligencia artificial

Ai-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory (en Inglés)

Louis Anthony Cox Jr (Autor) · Springer · Tapa Dura

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Ai-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory (en Inglés)"

This book explains and illustrates recent developments and advances in decision-making and risk analysis. It demonstrates how artificial intelligence (AI) and machine learning (ML) have not only benefitted from classical decision analysis concepts such as expected utility maximization but have also contributed to making normative decision theory more useful by forcing it to confront realistic complexities. These include skill acquisition, uncertain and time-consuming implementation of intended actions, open-world uncertainties about what might happen next and what consequences actions can have, and learning to cope effectively with uncertain and changing environments. The result is a more robust and implementable technology for AI/ML-assisted decision-making.The book is intended to inform a wide audience in related applied areas and to provide a fun and stimulating resource for students, researchers, and academics in data science and AI-ML, decision analysis, and other closely linked academic fields. It will also appeal to managers, analysts, decision-makers, and policymakers in financial, health and safety, environmental, business, engineering, and security risk management.