The coupling of plant simulation models and stochastic models representing failure events in Dynamic Event Trees (DET) is a framework to model the dynamic interactions among physical processes, equipment failures, and operator responses. The benefits of the framework, as a number of applications show, include, for instance, the capability to account for the aleatory timing of equipment failures...

This paper compares epistemic virtue from the viewpoints of Zagzebski and Mulla Sadra, aiming to determine the extent to which their viewpoints on epistemic virtue are similar. Zagzebski, the contemporary philosopher, considers epistemic virtue as the basis on which knowledge is interpreted. She sees epistemic virtue as a requirement for achieving knowledge. Mulla Sadra, the founder of Transcen...

Due to the growing complexity of multi-state deteriorating systems and lack data, information knowledge, epistemic uncertainty cannot be ignored anymore. Although there already exist some reliability metrics deal with problems in systems, final results provided by these methods are always probability intervals, which will suffer from interval extension challenge subsequent operation. In this pa...

A general sampling problem can be described by an Ellsberg urn, which is a mathematical model that assumes balls are randomly drawn from urn with uncertain numbers of colored balls. This means the essentially intricate simultaneous randomness and epistemic uncertainty, this core discussed in paper. Since practical usually processed environment, solution for equivalent necessary. Suppose contain...

To obtain uncertainty estimates with real-world Bayesian deep learning models, practical inference approximations are needed. Dropout variational inference (VI) for example has been used for machine vision and medical applications, but VI can severely underestimates model uncertainty. Alpha-divergences are alternative divergences to VI’s KL objective, which are able to avoid VI’s uncertainty un...