Téléchargez le livre : AI-ML for Decision and Risk Analysis

AI-ML for Decision and Risk Analysis

Challenges and Opportunities for Normative Decision Theory de

Éditeur :

Springer


Collection :

International Series in Operations Research & Management Science

Paru le : 2023-07-05

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Description

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.
Pages
433 pages
Collection
International Series in Operations Research & Management Science
Parution
2023-07-05
Marque
Springer
EAN papier
9783031320125
EAN PDF
9783031320132
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
43
Taille du fichier
7864 Ko
Prix
200,44 €
EAN EPUB
9783031320132
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
43
Taille du fichier
6994 Ko
Prix
200,44 €

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