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Dynamical Modeling of Collective Behavior from Pigeon Flight

已有 3556 次阅读 2012-4-1 07:58 |个人分类:集群运动|系统分类:论文交流|关键词:学者

逝者长已矣,生者如斯夫。
 
Xu Xiaoke and Michael Small wish to dedicate this paper to the memory of Graciano Dieck Kattas, an excellent student and a good friend, who passed away before seeing this
paper published.
 
The construction of mathematical models from experimental time-series data has been considered with some success in many areas of science and engineering, using the power of computer algorithms to build model structures and suitably tuning their parameters. When considering complex systems with nonlinear or collective behavior, computational models built from real data are the alternative to emulating the system as best as possible, since classic modeling approaches based on observation could prove difficult for complex dynamics. In this study, we provide a method to build models of collective dynamics from homing pigeon flight data. We show that our models follow the source dynamics well, and from them we are able to infer that significant collective behavior occurs in pigeon flights. Our results are consistent with the basic principles of previous hypotheses and models that have been proposed. Our approach serves as an initial outline towards the usage of experimental data to construct computational models to understand many complex phenomena with hypothesized collective behavior.
 


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