Jun 21, 2017 · We propose a generally applicable strategy based on statistically abstracting the internal system using Gaussian Processes, a powerful class of ...

We propose a novel simulation strategy based on a statistical abstraction of the agent layer, which is typically the most detailed component of the model.

Aug 11, 2017 · We propose a generally applicable strategy based on statistically abstracting the internal system using Gaussian Processes, a powerful class of ...

A novel simulation strategy based on a statistical abstraction of the agent layer, which is typically the most detailed component of the model and can incur ...

Dec 12, 2024 · We propose a generally applicable strategy based on statistically abstracting the internal system using Gaussian Processes, a powerful class of ...

Dec 10, 2019 · We propose a novel simulation strategy based on a statistical abstraction of the agent layer, which are typically the most detailed components ...

Modelling spatio-temporal systems exhibiting multi-scale behaviour is a powerful tool in many branches of science, yet it still presents significant ...

Oct 22, 2024 · We propose a novel simulation strategy based on a statistical abstraction of the agent layer, which is typically the most detailed component of ...

We show on two biological case studies how this technique can be used to speed up simulations and provide further insights into model behaviour.

Bortolussi, L., Milios, D., Sanguinetti, G.: Efficient stochastic simulation of systems with multiple time scales via statistical abstraction.