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pp 1–13 | Cite as

Structuring Decisions Under Deep Uncertainty

  • Casey HelgesonEmail author
Article
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Abstract

Innovative research on decision making under ‘deep uncertainty’ is underway in applied fields such as engineering and operational research, largely outside the view of normative theorists grounded in decision theory. Applied methods and tools for decision support under deep uncertainty go beyond standard decision theory in the attention that they give to the structuring (also called framing) of decisions. Decision structuring is an important part of a broader philosophy of managing uncertainty in decision making, and normative decision theorists can both learn from, and contribute to, the growing deep uncertainty decision support literature.

Keywords

Uncertainty Decision support Decision theory Structuring Framing 

Notes

Acknowledgements

This work was supported by the Arts and Humanities Research Council through the Managing Severe Uncertainty Project (AH/J006033/1), the Agence Nationale de la Recherche through Decision-Making & Belief Change Under Severe Uncertainty: A Confidence-Based Approach (DUSUCA) (ANR-14-CE29-0003-01), and the National Science Foundation through the Network for Sustainable Climate Risk Management (SCRiM) (GEO-1240507).

Compliance with Ethical Standards

Conflicts of interest

The author declares no conflicts of interest.

Ethical Approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.Pennsylvania State UniversityUniversity ParkUSA

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