[Back]

M. Bicher, N. Popper:
"Mean-Field Approximation of a Microscopic Population Model for Austria";
in: "Proceedings of the 9th EUROSIM Congress on Modelling and Simulation", IEEE, 2016, ISBN: 978-1-5090-4119-0, 544 - 545.

Verification and validation of large agent-based models is a complicated process to check for full functionality,
the simulation has to be executed various 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.

Mean-Field, approximation, microscopic, population, model, Austria

http://publik.tuwien.ac.at/files/publik_252782.pdf