- Robust Decision Making🔍
- The Best of Many Robustness Criteria in Decision Making🔍
- Robust decision|making under severe uncertainty for conservation ...🔍
- Robust and Data|Driven Optimization🔍
- Robust Decision|Making🔍
- Project|Platypus/Rhodium🔍
- Environmental Modelling & Software🔍
- Demonstrating the applicability of a Robust Decision Making 🔍
Robust decision making
Robust Decision Making: Crafting Strategies That Withstand the Test ...
In the realm of strategic planning and policy development, Robust Decision Making (RDM) stands as a pivotal approach designed to navigate ...
The Best of Many Robustness Criteria in Decision Making
In robust decision-making under non-Bayesian uncertainty, different robust optimization criteria, such as maximin performance, ...
Robust decision-making under severe uncertainty for conservation ...
Key words: conservation management; decision theory; Dicerorhinus sumatrensis; information gap; robustness of decisions; Sumatran rhino; uncertainty.
Robust and Data-Driven Optimization: Modern Decision Making ...
In robust optimization, random variables are modeled as uncertain parameters belonging to a convex uncertainty set, and the decision maker ...
Robustness is the quality of being able to withstand stresses, pressures, or changes in procedure or circumstance. A system, organism or design may be said to ...
Project-Platypus/Rhodium: Python Library for Robust Decision ...
Robust Decision Making (RDM) is an analytic framework developed by Robert Lempert and his collaborators at RAND Corporation that helps identify potential robust ...
Robust decision-making provides little guidance on how this robustness is to be achieved, resulting in some claims that RDM is intrinsically ...
Demonstrating the applicability of a Robust Decision Making (RDM ...
organi, estimated using species response models trained with an ensemble of climate model projections. ... RDM shows promise as an approach to ...
NSF Award Search: Award # 1463644 - DMUU: Center for Robust ...
DMUU: Center for Robust Decision-Making Tools for Climate and Energy Policy. NSF Org: SES · Divn Of Social and Economic Sciences. Recipient: UNIVERSITY OF ...
Many-objective robust decision making for managing an ecosystem ...
Many-objective robust decision making also exploits recent technological advances in high-dimensional visual analytics (Thomas and Cook 2005,. Kollat and Reed ...
Tough enough? Robust satisficing as a decision norm for long-term ...
... Robust Decision Making developed by Robert Lempert and colleagues at RAND. We discuss decision-theoretic and voting-theoretic motivations for robust ...
Belief-Informed Robust Decision Making (BIRDM)
Robust Decision Making (RDM) is an established framework for decision making under deep uncertainty. RDM relies on the idea of scenario ...
Robust decision making in a nonlinear world - PubMed
The authors propose a general modeling framework called the general monotone model (GeMM), which allows one to model psychological phenomena that manifest ...
Robust Decision Making in the Era of Machine Learning
A strong System 2 needs to work with ML in tandem. In human decision-making, when the lazy System 2 fails to intervene because it is fooled by ...
RDCEP: Center for Robust Decision Making on Climate and Energy ...
Share ... The University of Chicago, in partnership with several universities and national laboratories, has established the Center for Robust Decision Making on ...
Full article: Robust municipal decision making? A pilot study of ...
Results suggest that the process addresses uncertainty, encourages bottom-up approaches and provides a tool for creating adaptive pathways in a clear and ...
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization ...
Abstract. In this paper we address the problem of decision making within a Markov decision process (MDP) framework where risk and modeling errors are taken into ...
Robust Decision-Making under Risk and Ambiguity - EconStor
decision-making under uncertainty, robust Markov decision process. ∗Corresponding author: Maximilian Blesch, [email protected] ...
Challenges in using a Robust Decision Making approach to guide ...
Robust Decision Making inverts the analytical steps associated with forecast-led methodologies, reframing adaptation in the context of a ...
[2310.16281] Improving Robust Decisions with Data - arXiv
Abstract:A decision-maker faces uncertainty governed by a data-generating process (DGP), which is only known to belong to a set of sequences ...