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Effects of Asynchronism and Neighborhood Size on Clustering in Self-propelled Particle Systems

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4263))

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.

This work was supported by the Scientific and Technological Research Council of Turkey (TÜBİTAK) under grant 104E170.

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© 2006 Springer-Verlag Berlin Heidelberg

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Şamiloğlu, A.T., Gazi, V., Koku, A.B. (2006). Effects of Asynchronism and Neighborhood Size on Clustering in Self-propelled Particle Systems. In: Levi, A., Savaş, E., Yenigün, H., Balcısoy, S., Saygın, Y. (eds) Computer and Information Sciences – ISCIS 2006. ISCIS 2006. Lecture Notes in Computer Science, vol 4263. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11902140_70

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  • DOI: https://doi.org/10.1007/11902140_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47242-1

  • Online ISBN: 978-3-540-47243-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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