In this study, we analyze the effects of asynchronism and neighborhood size on the collective motion of multi-agent systems. Many studies performed on the collective motion of self propelled particle systems or basically a class of multi-agent systems are modeled to be synchronous. However, in nature and in robotic applications the autonomous agents mostly act asynchronously. Therefore, a model based on the asynchronous actions of agents is developed. The agents/particles are assumed to move with constant speed and asynchronously update their direction of motion based on a nearest-neighbors rule. Based on these rules simulations are performed and the effects of asynchronism and neighborhood size on the clustering performance are investigated. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Şamiloǧlu, A. T., Gazi, V., & Koku, A. B. (2006). Effects of asynchronism and neighborhood size on clustering in self-propelled particle systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4263 LNCS, pp. 665–676). Springer Verlag. https://doi.org/10.1007/11902140_70
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