Over the last few years, integration of stochastic methods into a multiscale framework or development of multiscale models in a stochastic setting for epistemic ncertainty quantification (UQ), analysis and design of physical systems is becoming an emerging research frontier. Nevertheless, to find competitive solutions, we need an extended, wider panorama, by using new eyes. To grasp a more reliable representation of reality and to get stronger biological and physical system measurement and correlates, researchers and scientists need two intelligently articulated hands: both stochastic and combinatorial approaches synergically articulated by natural coupling. It is much better to consider ontological uncertainty as an emergent phenomenon out of a complex system, where the notion of anticipation can offer competitive computational solutions. An example is presented and discussed.
From Epistemic Uncertainty Quantification to Ontological Uncertainty Management for System Safety and Security
FIORINI, RODOLFO
2015-01-01
Abstract
Over the last few years, integration of stochastic methods into a multiscale framework or development of multiscale models in a stochastic setting for epistemic ncertainty quantification (UQ), analysis and design of physical systems is becoming an emerging research frontier. Nevertheless, to find competitive solutions, we need an extended, wider panorama, by using new eyes. To grasp a more reliable representation of reality and to get stronger biological and physical system measurement and correlates, researchers and scientists need two intelligently articulated hands: both stochastic and combinatorial approaches synergically articulated by natural coupling. It is much better to consider ontological uncertainty as an emergent phenomenon out of a complex system, where the notion of anticipation can offer competitive computational solutions. An example is presented and discussed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
