Fluid Approximation–based Analysis for Mode-switching Population Dynamics

نویسندگان

چکیده

Fluid approximation results provide powerful methods for scalable analysis of models population dynamics with large numbers discrete states and have seen wide-ranging applications in modelling biological computer-based systems model checking. However, the applicability these relies on assumptions that are not easily met a number scenarios. This article focuses one particular class scenarios which rapid information propagation system is considered. In particular, we study case where changes induced by about environment being communicated between components via broadcast communication. We see how existing hybrid fluid limit results, resulting piecewise deterministic Markov processes, can be adapted to such models. Finally, propose heuristic constructions extracting mean behaviour from approximations without need simulate individual trajectories.

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ژورنال

عنوان ژورنال: ACM Transactions on Modeling and Computer Simulation

سال: 2021

ISSN: ['1049-3301', '1558-1195']

DOI: https://doi.org/10.1145/3441680