Ant Droplet Dynamics Evolve via Individual Decision-Making

被引:8
|
作者
Sakiyama, Tomoko [1 ]
机构
[1] Okayama Univ, Grad Sch Nat Sci & Technol, Okayama 7008530, Japan
来源
SCIENTIFIC REPORTS | 2017年 / 7卷
关键词
D O I
10.1038/s41598-017-13775-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The droplets of a set of ants were studied while they constructed a bridge. A droplet is a group of ants derived from a larger group. Several experimental studies have revealed the droplet dynamics of ants that resemble the self-organising characteristics that are displayed in their physico-chemical systems. However, little is known regarding how these typical behaviours emerge from individual decision-making. In this study, I developed an agent-based model where artificial ants aggregated, thereby resulting in chain and droplet growth. In my proposed model, the agents tuned their weight thresholds according to the local pattern stability and propagation of negative information. As a result, it was revealed that the droplet dynamics of my proposed model partly matched the time series of droplets of real ants, as demonstrated in previous experimental studies that included the fluctuation function and interdrop increments that followed a scale-free distribution.
引用
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页数:8
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