Ai-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory

Cox Jr, Louis Anthony

Ai-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory
  • 出版商: Springer
  • 出版日期: 2024-07-06
  • 售價: $7,030
  • 貴賓價: 9.5 折 $6,679
  • 語言: 英文
  • 頁數: 433
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031320158
  • ISBN-13: 9783031320156

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

本書解釋並說明了決策與風險分析的最新發展與進展。它展示了人工智慧（AI）和機器學習（ML）如何不僅受益於傳統決策分析概念，如期望效用最大化，還如何促使規範性決策理論變得更有用，因為它迫使理論面對現實中的複雜性。這些複雜性包括技能獲得、意圖行動的不確定性和耗時的實施、對未來可能發生的事情及行動可能帶來的後果的開放性不確定性，以及學習有效應對不確定和變化環境的能力。最終結果是為AI/ML輔助決策提供了一種更穩健且可實施的技術。

本書旨在向相關應用領域的廣泛讀者提供資訊，並為數據科學和AI-ML、決策分析及其他密切相關的學術領域的學生、研究人員和學者提供一個有趣且具啟發性的資源。它也將吸引金融、健康與安全、環境、商業、工程及安全風險管理領域的管理者、分析師、決策者和政策制定者。

作者簡介

Louis Anthony Cox Jr. is a Professor of Business Analytics at the University of Colorado, USA; Chief Digital Intelligence Officer at Entanglement, Inc.; and President of Cox Associates, a Denver-based applied research company specializing in artificial intelligence and machine learning; health, safety, and environmental risk analysis; epidemiology; policy analytics; data science; and operations research. Dr. Cox is Editor-in-Chief of Risk Analysis: An International Journal. He is a member of the National Academy of Engineering, a Fellow of the Institute for Operations Research and Management Science (INFORMS), and a Fellow of the Society for Risk Analysis (SRA). He has authored and co-authored over 200 journal articles and numerous books and chapters in these fields. He holds over a dozen US patents on applications of artificial intelligence, signal processing, statistics, and operations research in telecommunications. His current research interestsinclude computational statistical methods for causal inference in public health risk analysis, data mining, and advanced analytics for risk management, business, and public policy applications.

作者簡介(中文翻譯)

路易斯·安東尼·考克斯（Louis Anthony Cox Jr.）是美國科羅拉多大學的商業分析教授；Entanglement, Inc. 的首席數位情報官；以及位於丹佛的應用研究公司Cox Associates的總裁，該公司專注於人工智慧和機器學習、健康、安全與環境風險分析、流行病學、政策分析、數據科學和運籌學。考克斯博士是《風險分析：國際期刊》的主編。他是美國國家工程院的成員，也是運籌學與管理科學學會（INFORMS）和風險分析學會（SRA）的研究員。他在這些領域已發表和合著超過200篇期刊文章以及多本書籍和章節。他擁有十多項美國專利，涉及人工智慧、信號處理、統計學和運籌學在電信領域的應用。他目前的研究興趣包括公共健康風險分析中的因果推斷計算統計方法、數據挖掘，以及風險管理、商業和公共政策應用的高級分析。

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