Abstract

This article is about possible intersections between modelling and simulation and machine learning. It introduces some basic ideas of machine learning and shows how the can be applied onto traditional modelling and simulation processes in such a way that both approaches benefit as much as possible from each other. New developments and advancements in various areas allow for new techniques which may help in understanding complex dynamic systems.