02369nam 22004573 450 991112486520332120260630080249.09781394306817(CKB)48341216200041(MiAaPQ)EBC32821081(Au-PeEL)EBL32821081(OCoLC)1601226159(EXLCZ)994834121620004120260630d2026 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierDecision-Making for Earth Resource Development Quantifying Uncertainty1st ed.Newark :American Geophysical Union,2026.©2026.1 online resource (385 pages)Geophysical Monograph Series ;v.2939781394306763 Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- Acknowledgments -- Chapter 1 Real-World Decision-Making Cases -- Chapter 2 Decision-Making Under Uncertainty Using Artificial Intelligence -- Chapter 3 Data Science and Machine Learning for Uncertainty Quantification -- Chapter 4 Sensitivity Analysis -- Chapter 5 How to Think About Uncertainty: A Popper-Bayes Philosophy -- Chapter 6 Geological Priors and Inversion -- Chapter 7 A Popper-Bayes Protocol for Uncertainty Quantification in the Context of Decision-Making -- Chapter 8 Decision-Making in Developing Earth Resources -- Chapter 9 Software Engineering and Implementation -- INDEX -- EULA.Earth's subsurface offers many vital resources--such as minerals, geothermal energy, and clean water--but decisions regarding exploration and extraction must balance resource value against environmental impact.This can only be addressed by accepting uncertainty as an integral part of most decisions.Geophysical Monograph SeriesBayesian statistical decision theoryGenerated by AIUncertainty (Information theory)Generated by AIBayesian statistical decision theoryUncertainty (Information theory)Caers Jef732927MiAaPQMiAaPQMiAaPQBOOK9911124865203321Decision-Making for Earth Resource Development4818512UNINA