Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4645982 | Applied Numerical Mathematics | 2009 | 12 Pages |
Abstract
Complex Automata (CxA) have been recently introduced as a paradigm to simulate multiscale multiscience systems as a collection of generalized Cellular Automata on different scales. The approach yields numerical and computational challenges and can become a powerful tool for the simulation of particular complex systems. We present a mathematical framework for CxA modeling to investigate the behavior of the model depending on scale separation and modeling choices. For a simple CxA model for a reaction–diffusion process, we define a Complex Automata model, deriving theoretical error estimates, which are numerically validated.
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