decision-making under uncertainty

decision-making under uncertainty

[di¦sizh·ən ¦māk·iŋ ‚ən·dər ən′sərt·ən·tē]
(statistics)
The process of drawing conclusions from limited information or conjecture.
References in periodicals archive ?
AI contributions in addressing issues related to health care have focused on graphical models, machine learning, sequential decision-making under uncertainty, influence maximization, and operations research.
His Nobel Prize in Economic Sciences was received "for having integrated insights from psychological research into economic science, especially concerning human judgment and decision-making under uncertainty.
Decision-making under uncertainty The problem of decision-making under uncertainty is analogous to comparing estimates of the mean (or expectation values) between two data sets, such height difference between males and females, where uncertainty is the variance, [[sigma].
Simulation methods based on extrapolation of measurable data from the past are not proper for assistance in the decision-making under uncertainty.
Decision-making under uncertainty is the central idea in strategy and it consists of lots of strategic decisions.
In statistics and the theory of decision-making under uncertainty, errors are inevitable.
Moving from learning sequential decision-making under uncertainty to using it in the first-order setting, he covers concepts and algorithms of Markov decision processes (MDP); generalization and abstraction in them; reasoning, learning, and acting in worlds with objects; model-free and model-based algorithms for relational MDPs; and sapience, models, and hierarchy.
This makes NPV analysis increasingly inappropriate for decision-making under uncertainty.
Decision-making under uncertainty - the scientific term for disciplines like punting - is an exercise in dealing with partial information in a rational fashion.
It breaks new grounds regarding the modelling of decision-making under uncertainty in social sciences, especially in economics.
The important question is whether there are better approaches to evaluating and managing risk--to decision-making under uncertainty.
Rothschild has written on a wide range of topics, including decision-making under uncertainty, investment, taxation, finance, jury decision processes, and higher education.