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Decision Making under Deep Uncertainty: From Theory to Practice
Open accessAbstract
This open access book focuses on the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores the design of strategic plans under deep uncertainty, and their testing in the real world.
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Cited by
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., Ghavamzadeh, M., Fieguth, P., Cao, X., Khosravi, A., Acharya, U. R., et al. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.05.008 · Cited by 3,111
Beiderbeck, D., Frevel, N., von der Gracht, H. A., Schmidt, S. L., & Schweitzer, V. M. (2021) · MethodsX · doi:10.1016/j.mex.2021.101401 · Cited by 642
Achieving the Sustainable Development Goals Requires Transdisciplinary Innovation at the Local Scale
Moallemi, E. A., Malekpour, S., Hadjikakou, M., Raven, R., Szetey, K., Ningrum, D., Dhiaulhaq, A., & Bryan, B. A. (2020) · One Earth · doi:10.1016/j.oneear.2020.08.006 · Cited by 312
Exploratory modeling for analyzing coupled human-natural systems under uncertainty
Moallemi, E. A., Kwakkel, J., de Haan, F. J., & Bryan, B. A. (2020) · Global Environmental Change · doi:10.1016/j.gloenvcha.2020.102186 · Cited by 130
Shaw, T. A., & Stevens, B. (2025) · Nature · doi:10.1038/s41586-025-08680-1 · Cited by 37
Metadata
- Venue
- Springer eBooks
- Publisher
- Springer International Publishing
- Published
- 2019
- OpenAlex
- W2942432719
- Cited by
- 599
- References
- 0
- FWCI
- 32.59
- Type
- book
- Language
- en
- Open access
- hybrid
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- Decision Making under Deep Uncertainty: From Theory to Practice. (2019). Springer eBooks. https://doi.org/10.1007/978-3-030-05252-2
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
