Mean-Field Approximation of a Microscopic Population Model for Austria

Abstract

. Verification and validation of large agent bases models is a complicated process - to check for full functionality, the simulation has to be executed var-ious times, which takes both time and computational resources. In this discussion-paper we present an approach that could generally improve this process, applied on an agent-based population model for Austria. A so-called mean-field model in this case a partial differential equation (PDE) is used for this aim. Execution of the PDE simulation only takes a very short time, hence the mean-field model can provide a fast prospect on results, behaviour and sensitivity of the agent-based model used.