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AI-ML for Decision and Risk Analysis : Challenges and Opportunities for Normative Decision Theory / / by Louis Anthony Cox Jr
| AI-ML for Decision and Risk Analysis : Challenges and Opportunities for Normative Decision Theory / / by Louis Anthony Cox Jr |
| Autore | Cox Jr Louis Anthony |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (443 pages) |
| Disciplina | 658.4030028563 |
| Collana | International Series in Operations Research & Management Science |
| Soggetto topico |
Operations research
Financial risk management Machine learning Artificial intelligence Markov processes Operations Research and Decision Theory Risk Management Machine Learning Artificial Intelligence Markov Process |
| ISBN |
9783031320132
3031320131 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910734831203321 |
Cox Jr Louis Anthony
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Causal Analytics for Applied Risk Analysis / / by Louis Anthony Cox Jr., Douglas A. Popken, Richard X. Sun
| Causal Analytics for Applied Risk Analysis / / by Louis Anthony Cox Jr., Douglas A. Popken, Richard X. Sun |
| Autore | Cox Jr Louis Anthony |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (596 pages) |
| Disciplina | 658.155 |
| Collana | International Series in Operations Research & Management Science |
| Soggetto topico |
Operations research
Decision making Big data Risk management Operations Research/Decision Theory Big Data/Analytics Risk Management |
| ISBN | 3-319-78242-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1. Concepts and Methods of Causal Analytics -- Chapter 1. Causal Analytics and Risk Analytics -- Chapter 2. Causal Concepts, Principles, and Algorithms -- Part 2. Descriptive Analytics in Public and Occupational Health -- Chapter 3. Descriptive Analytics for Public Health: Socioeconomic and Air Pollution Correlates of Adult Asthma, Heart Attack, and Stroke Risks -- Chapter 4. Descriptive Analytics for Occupational Health: Is Benzene Metabolism in Exposed Workers More Efficient at Very Low Concentrations?- Chapter 5. How Large are Human Health Risks Caused by Antibiotics Used in Food Animals?- Chapter 6. Quantitative Risk Assessment of Human Risks of Methicillin-Resistant Staphylococcus aureus (MRSA) Caused by Swine Operations Part 3. Predictive and Causal Analytics -- Chapter 7. Attributive Causal Modeling: Quantifying Human Health Risks Caused by Toxoplasmosis From Open System Production Of Swine -- Chapter 8. How Well Can High-Throughput Screening Test Results Predict Whether Chemicals Cause Cancer in Mice and Rats?- Chapter 9. Mechanistic Causality: Biological Mechanisms of Dose-Response Thresholds for Inflammation-Mediated Diseases Caused by Asbestos Fibers and Mineral Particles -- Part 4. Evaluation Analytics -- Chapter 10. Evaluation Analytics for Public Health: Has Reducing Air Pollution Reduced Mortality in the United States?- Chapter 11. Evaluation Analytics for Occupational health: How accurately and consistently do laboratories measure workplace concentrations of respirable crystalline silica?- Part 5. Risk Management: Insights from Prescriptive, Learning, and Collaborative Analytics -- Chapter 12. Improving individual, group and organizational decisions: Overcoming learning aversion in evaluating and managing uncertain risks -- Chapter 13. Improving organizational risk management: From Lame Excuses to Principled Practice -- Chapter 14. Improving institutions of risk management: Uncertain causality and judicial review of regulations -- Chapter 15. Intergenerational justice in protective and resilience investments with uncertain future preferences and resources. |
| Record Nr. | UNINA-9910298190203321 |
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Cox Jr Louis Anthony
|
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||