Data-to-Text Generation Improves Decision-Making Under Uncertainty

Decision making under uncertainty

Decision making under uncertainty

1 Laboratory of Computational Neuroscience, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland 2 Laboratoire de Recherché en Neuroimagerie, Le Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland 3 Information Processing and Economic Decision Making, Department of Psychology, Universität Konstanz, Konstanz, Germany 4 Economic Psychology, Department of Psychology, Univers...

Decision Making under Extreme Uncertainty

Beliefs about an unknown distribution can be defined as a measure on the space of probability density functions. This paper (1) characterizes the set of beliefs that satisfy invariance postulates (2) establishes that updating invariant beliefs leads to a posterior distribution with tail asymptotically approaching 1 x(lnx)n . Note to seminar participant at Wharton: Part I of this paper is primar...

Decision Making under Interval Uncertainty

To make a decision, we must find out the user’s preference, and help the user select an alternative which is the best – according to these preferences. Traditional decision theory is based on a simplifying assumption that for each two alternatives, a user can always meaningfully decide which of them is preferable. In reality, often, when the alternatives are close, the user is often unable to s...

Comparing uncertainty data in epistemic and ontic sense used to decision making problem

In the paper aspect of comparability alternatives in decision making problem by imprecise or incomplete information isexamined. In particular, new definitions of transitivity based on the measure of the intensity preference between pairsof alternatives in epistemic and ontic case is presented and its application to solve decision making problem is proposed.