When the consequence of a hazardous event is known, but the likelihood is known only as a probability, decision making has to be done under a cloud of uncertainty. The number of variables involved is ...
An ad hoc committee will organize presentations and discussions on how risk and uncertainty influence decision making as the focal point of the summer (June 19-20, 2012) meeting of the ...
This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof ... There have been fundamental advances in our understanding of decision making in ...
Economists have theories about how humans behave in these situations and what decision-making mechanisms lead ... model the situation of bargaining under uncertainty, Agranov's team recruited ...
We contribute innovative decision frameworks for deeply uncertain problems in environmental management and infrastructure. Post-2026 Colorado River Basin negotiations: our research with CADSWES ...
For an example of a multi-objective methodology ... Spatio-Temporal Multicriteria Decision Making Under Uncertainty. Article that describes the use of GIS integrated with a decision support ...
An example is ... up with uninsurable uncertainty. “Knightian uncertainty” is a buzz phrase in economics today. Knight is lionized in “Radical Uncertainty: Decision-Making Beyond the Numbers ...
McGrath, Sean, Parth Mehta, Alexandra Zytek, Isaac Lage, and Himabindu Lakkaraju. "When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making." ...
This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof ... There have been fundamental advances in our understanding of decision making in ...
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