LEADER 06114 am 22007693u 450 001 9910337805903321 005 20230125221545.0 010 $a3-030-05252-4 024 7 $a10.1007/978-3-030-05252-2 035 $a(CKB)4100000007881180 035 $a(MiAaPQ)EBC5747398 035 $a(DE-He213)978-3-030-05252-2 035 $a(Au-PeEL)EBL5747398 035 $a(OCoLC)1099789127 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/25851 035 $a(PPN)23567088X 035 $a(EXLCZ)994100000007881180 100 $a20190404d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDecision Making under Deep Uncertainty$b[electronic resource] $eFrom Theory to Practice /$fedited by Vincent A. W. J. Marchau, Warren E. Walker, Pieter J. T. M. Bloemen, Steven W. Popper 205 $a1st ed. 2019. 210 $aCham$cSpringer Nature$d2019 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XIV, 405 p. 85 illus., 66 illus. in color.) 311 $a3-030-05251-6 327 $aChapter 1. Introduction -- Chapter 2. Robust Decision Making (RDM) -- Chapter 3. Dynamic Adaptive Planning (DAP) -- Chapter 4. Dynamic Adaptive Policy Pathways (DAPP) -- Chapter 5. Info-Gap (IG) Decision Theory -- Chapter 6. Engineering Options Analysis (EOA) -- Chapter 7. Robust Decision Making (RDM) Applications Water Planning and Climate Policy -- Chapter 8. Dynamic Adaptive Planning (DAP) ? The Case of Intelligent Speed Adaptation -- Chapter 9. Dynamic Adaptive Policy Pathways (DAPP): From Theory to Practice -- Chapter 10. Info-Gap (IG) Robust Design of a Mechanical Latch -- Chapter 11. Engineering Options Analysis (EOA) ? Applications -- Chapter 12. Decision Scaling (DS): Decision Support for Climate Change -- Chapter 13. A Conceptual Model of Planned Adaptation (PA) -- Chapter 14. DMDU into Practice: Adaptive Delta Management in The Netherlands -- Chapter 15. Supporting DMDU: A Taxonomy of Approaches and Tools -- Chapter 16. Reflections: DMDU and Public Policy for Uncertain Times -- Chapter 17. Conclusions and Outlook. 330 $aThis open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares. 606 $aOperations research 606 $aDecision making 606 $aDynamics 606 $aErgodic theory 606 $aProbabilities 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 606 $aDynamical Systems and Ergodic Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M1204X 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 610 $aBusiness 610 $aManagement science 610 $aOperations research 610 $aDecision making 610 $aDynamics 610 $aErgodic theory 610 $aProbabilities 615 0$aOperations research. 615 0$aDecision making. 615 0$aDynamics. 615 0$aErgodic theory. 615 0$aProbabilities. 615 14$aOperations Research/Decision Theory. 615 24$aDynamical Systems and Ergodic Theory. 615 24$aProbability Theory and Stochastic Processes. 676 $a658.40301 700 $aMarchau$b Vincent A. W. J$4edt$01356766 702 $aMarchau$b Vincent A. W. J$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWalker$b Warren E$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBloemen$b Pieter J. T. M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPopper$b Steven W$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337805903321 996 $aDecision Making under Deep Uncertainty$93361646 997 $aUNINA