Decision Making under Deep Uncertainty From Theory to Practice
This 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...
Otros Autores: | , , , , |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Cham
Springer Nature
2019
Cham : 2019. |
Edición: | 1st ed. 2019. |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009657628606719 |
Tabla de Contenidos:
- Chapter 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.