WebJan 10, 2024 · To identify such regions where the AI system is likely to err, we need to distinguish between (at least) two different sources of uncertainty: aleatory (or aleatoric), … WebJan 30, 2024 · Aleatory uncertainty is concerned with the stochastic variability of the friction dynamics and incorporated with probabilistic methods (e.g., a Monte Carlo simulation), while the epistemic uncertainty resulting from model uncertainties is modeled via fuzzy methods.
Addressing the epistemic uncertainty in seismic hazard
WebJan 10, 2024 · To identify such regions where the AI system is likely to err, we need to distinguish between (at least) two different sources of uncertainty: aleatory (or aleatoric ), and epistemic uncertainty (Hora, 1996; Hüllermeier and Waegeman, 2024 ). Aleatory uncertainty refers to the variability in the outcome of an experiment which is due to ... WebMar 8, 2024 · In the first case, the generalized Hartley measure is used for quantifying epistemic uncertainty, and aleatoric uncertainty is obtained as the difference … my best friend\u0027s wedding reviews
Uncertainty + Visualization, Explained by Midwest Uncertainty …
WebTo the extent that epistemic and aleatory uncertainty are attributed to different sources they also can be distinguished by distinct coping strategies: epistemic uncertainty … WebJun 1, 2010 · Aleatory and epistemic uncertainties use the concept of the entropy and Dempster–Shafer (D–S) theory, respectively. Accordingly, we propose the generalized Shannon entropy in the D–S theory ... WebPhilosophers have long emphasized a distinction between aleatoric and epistemic uncertainty. Epistemic refers to lack of knowledge -- something we could in principle know for sure -- in contrast to aleatoric "intrinsic randomness" involved in which of possible futures will actually occur. As a basic iconic example of the distinction between ... how to pay for medical school