AI-ML for Decision and Risk Analysis - Challenges and Opportunities for Normative Decision Theory (1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	International Series in Operations Research & Management Science, 345
Release date:	July 2023
First published:	2023
Authors:	Louis Anthony Cox Jr
Dimensions:	235 x 155mm (L x W)
Pages:	433
Edition:	1st ed. 2023
ISBN-13:	978-3-03-132012-5
Categories:	Books Promotions
LSN:	3-03-132012-3
Barcode:	9783031320125

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