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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 3-031-32013-1
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. Clarifying the 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  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Cox Jr Louis Anthony  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui