Modeling and Simulation of Myxobacteria Swarming Behavior
نویسنده
چکیده
We present a cell-based model to simulate the swarming behavior of various mutants of myxobacteria. Computational complexity is often known to be one of the biggest obstacles in simulating such biological system as there are too many interacting individuals involved in the system. We derive the scaling law for our model, which together with the concept of superindividuals, enable us to perform large scale simulations that produce identical dynamics as the actual biological colony. This idea can be applied in modeling of systems that involve a high number of autonomous agents. The global swarming patterns for different mutants of myxobacteria produced by our simulations show good phenotypic agreement with those observed in experiments. We further quantify these global patterns by computing the order parameter and show the important role of social motility in cell alignment during swarming. Copyright © acascipub.com, all rights reserved.
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