This contribution integrates uncertainty in human performance models based on Coloured Petri Nets to predict human performance more realistically. As decisions often have to be made under uncertainty and existing models of human cognitive performance use ifthen rules, the arising questions are about the combination of uncertainty with these rules. Uncertainty is present, if the environment is n...

We describe the design and evaluation of two different dynamic student uncertainty adaptations in wizarded versions of a spoken dialogue tutoring system. The two adaptive systems adapt to each student turn based on its uncertainty, after an unseen human “wizard” performs speech recognition and natural language understanding and annotates the turn for uncertainty. The design of our two uncertain...

We investigate the relationship between uncertainty about monetary policy and its transmission mechanism, and economic fluctuations. We propose a new term structure model where the second moments of macroeconomic variables and yields can have a first-order effect on their dynamics. The data favors a model with two unspanned volatility factors that capture uncertainty about monetary policy and t...

occurrence of natural disaster inflicts irreparable injuries and symptoms on humans. in such conditions, affected people are waiting for medical services and relief commodities. thus, quick reaction of medical services and relief commodities supply play important roles in improving natural disaster management. in this paper, a multi-objective non-linear credibility-based fuzzy mathematical prog...

Article history: Received 2 August 2013 Received in revised form 6 November 2013 Accepted 2 December 2013 Available online 1 January 2014

Introduction Conclusions References

We derive an optimal entropic uncertainty relation for an arbitrary pair of observables in a two-dimensional Hilbert space. Such a result, for the simple case we are considering, definitively improves all the entropic uncertainty relations which have appeared in the literature.

Bayesian Uncertainty Quantification for Subsurface Inversion Using a Multiscale Hierarchical Model Anirban Mondal, Bani Mallick, Yalchin Efendiev & Akhil Datta-Gupta a Department of Statistics, Texas A&M University, College Station, TX 77843 (; ) b Department of Mathematics, Texas A&M University, College Station, TX 77843 () c Petroleum Engineering Department, Texas A&M University, College Stat...