Researchers at WashU McKelvey Engineering have developed a new method to understand information in complex systems.
Led by a new theory developed by Aobo Lyu, a doctoral student at McKelvey Engineering, this collaboration applies an information-theoretic approach to control and direct swarms of unmanned aerial vehicles as part of a $184,000 grant from the Defense Advanced Research Projects Agency.
Lyu's approach, published March 3 in Physical Review E, provides a framework to understand the collective dynamics and spontaneous, synchronous behavior observed in collections of interacting agents, each governed by their own individual local dynamics.
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