Analysis of emergent symmetry breaking in collective decision making |
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Authors: | Heiko Hamann Thomas Schmickl Heinz Wörn Karl Crailsheim |
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Affiliation: | 1.Artificial Life Lab of the Department of Zoology,Karl-Franzens University Graz,Graz,Austria;2.Universit?t Karslruhe (TH), Institute for Process Control and Robotics,Karlsruhe,Germany |
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Abstract: | We investigate a simulated multi-agent system (MAS) that collectively decides to aggregate at an area of high utility. The
agents’ control algorithm is based on random agent–agent encounters and is inspired by the aggregation behavior of honeybees.
In this article, we define symmetry breaking, several symmetry breaking measures, and report the phenomenon of emergent symmetry
breaking within our observed system. The ability of the MAS to successfully break the symmetry depends significantly on a
local-neighborhood-based threshold of the agents’ control algorithm that determines at which number of neighbors the agents
stop. This dependency is analyzed and two macroscopic features are determined that significantly influence the symmetry breaking
behavior. In addition, we investigate the connection between the ability of the MAS to break symmetries and the ability to
stay flexible in a dynamic environment. |
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Keywords: | |
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