Multiscale modelling and analysis of collective decision making in swarm robotics.

PLoS One

FIT Centre for Research in Intelligent Systems, Monash University, Melbourne, Australia.

Published: June 2015

We present a unified approach to describing certain types of collective decision making in swarm robotics that bridges from a microscopic individual-based description to aggregate properties. Our approach encompasses robot swarm experiments, microscopic and probabilistic macroscopic-discrete simulations as well as an analytic mathematical model. Following up on previous work, we identify the symmetry parameter, a measure of the progress of the swarm towards a decision, as a fundamental integrated swarm property and formulate its time evolution as a continuous-time Markov process. Contrary to previous work, which justified this approach only empirically and a posteriori, we justify it from first principles and derive hard limits on the parameter regime in which it is applicable.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219724PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0111542PLOS

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