Effects of asynchronism and neighborhood size on clustering in self-propelled particle systems

Authors:
Andaç T. Şamiloğlu;Veysel Gazi;A. Buğra Koku
Affiliations:
Department of Electrical and Electronics Engineering, TOBB University of Economics and Technology, Ankara, Söğütözü, Turkey;Department of Electrical and Electronics Engineering, TOBB University of Economics and Technology, Ankara, Söğütözü, Turkey;Mechanical Engineering Department, Middle East Technical University, Ankara, Turkey
Venue:
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Year:
2006

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Abstract

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.