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- W769794945 abstract "Relating microscopic features (individual level) to macroscopic features (swarm level) of self-organizing collective systems is challenging. In this paper, we report the mathematical derivation of a macroscopic model starting from a microscopic one for the example of collective decision-making. The collective system is based on the application of a majority rule over groups of variable size which is modeled by chemical reactions (micro-model). From an approximated master equation we derive the drift term of a stochastic differential equation (macromodel) which is applied to predict the expected swarm behavior. We give a recursive definition of the polynomials defining this drift term. Our results are validated by Gillespie simulations and simulations of the locust alignment." @default.
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- W769794945 date "2014-01-01" @default.
- W769794945 modified "2023-09-23" @default.
- W769794945 title "Derivation of a micro-macro link for collective decision-making systems. Uncover network features based on drift measurements" @default.
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