E-Book, Englisch, Band 345, 433 Seiten, eBook
Reihe: International Series in Operations Research & Management Science
Challenges and Opportunities for Normative Decision Theory
E-Book, Englisch, Band 345, 433 Seiten, eBook
Reihe: International Series in Operations Research & Management Science
ISBN: 978-3-031-32013-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Part I. Received Wisdom.- 1.Rational Decision and Risk Analysis and Irrational Human Behavior.- 2.Data Analytics and Modeling for Improving Decisions .- 3. Natural, Artificial, and Social Intelligence for Decision-Making.- Part 2: Fundamental Challenges for Practical Decision Theory.- 4.Answerable and Unanswerable Questions in Decision and Risk Analysis.- 5.Decision Theory.- 6.Learning Aversion in Benefit-Cost Analysis with Uncertainty.- Part 3: Ways forward 7.Addressing Wicked Problems and Deep Uncertainties in Risk Analysis.- 8.Muddling Through and Deep Learning for Bureaucratic Decision-Making.- 9.Causally Explainable Decision Recommendations using Causal Artificial Intelligence.- Part 4: Public Health Applications.- 10. Re-Assessing Human Mortality Risks Attributed to Agricultural Air Pollution: Insights from Causal Artificial Intelligence.- 11.Toward more Practical Causal Epidemiology and Health Risk Assessment Using Causal Artificial Intelligence.- 12. Clarifyingthe Meaning of Exposure-Response Curves with Causal AI.- 13. Pushing Back on AI: A Dialogue with ChatGPT.- Index.