Kunz Hanspeter, Hemelrijk Charlotte K
Department of Information Technology, University of Zürich, Andreasstrasse 15, 8050 Zürich, Switzerland.
Artif Life. 2003 Summer;9(3):237-53. doi: 10.1162/106454603322392451.
Individual-based models of schooling in fish have demonstrated that, via processes of self-organization, artificial fish may school in the absence of a leader or external stimuli, using local information only. We study for the first time how body size and body form of artificial fish affect school formation in such a model. For a variety of group sizes we describe how school characteristics (i.e., group form, spread, density, polarization, turning rate, and speed) depend on body characteristics. Furthermore, we demonstrate that the nearest neighbor distance and turning rate of individuals are different for different regions in the group, although the agents are completely identical. Our approach shows the significance of both self-organization and embodiment in modeling of schools of artificial fish and, probably, in structuring schools of real fish.
基于个体的鱼类集群模型表明,通过自组织过程,人工鱼在没有领导者或外部刺激的情况下,仅利用局部信息就可能形成集群。我们首次研究了人工鱼的体型和身体形态在这种模型中如何影响集群的形成。对于各种群体规模,我们描述了集群特征(即群体形态、扩散、密度、极化、转向率和速度)如何依赖于身体特征。此外,我们证明,尽管个体完全相同,但群体中不同区域的个体最近邻距离和转向率是不同的。我们的方法显示了自组织和具身性在人工鱼集群建模中以及可能在真实鱼类集群结构中的重要性。