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首页> 外文会议>International Symposium on Computer and Information Sciences(ISCIS 2006); 20061101-03; Istanbul(TR) >Effects of Asynchronism and Neighborhood Size on Clustering in Self-propelled Particle Systems
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Effects of Asynchronism and Neighborhood Size on Clustering in Self-propelled Particle Systems

机译：异步性和邻域大小对自推进粒子系统聚类的影响

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摘要

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.
机译：在这项研究中，我们分析了异步性和邻域大小对多主体系统集体运动的影响。对自推进粒子系统或一类多智能体系统的集体运动进行的许多研究都被建模为同步的。但是，在自然界和机器人应用中，自治代理通常是异步操作的。因此，开发了基于代理异步动作的模型。假定代理/粒子以恒定速度移动，并根据最近邻居规则异步更新其运动方向。基于这些规则进行了仿真，并研究了异步性和邻域大小对聚类性能的影响。

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