Trail traffic flow prediction by contact frequency among individual ants
Trail traffic flow prediction by contact frequency among individual ants
复制标题
通过个体蚂蚁之间的接触频率预测路径交通流量
作者：
H. Sasaki;Ho
蚂蚁在移动蚁群时会建立一条通往新地点的路径。无论步道的密度如何，步道的交通都很顺畅。据我们所知，这种现象只在蚂蚁物种中有报道。步道的容量被称为步道交通流量。本文提出了一个概率模型的线索交通流，它克服了以往文献中提出的动力学模型的一些不足之处。我们的模型回答了一个问题未解决的前一个模型，即，有多少工蚁形成这样一个密度无关的线索。我们专注于蚂蚁的相互接触，涉及个人的线索形成的反应。我们提出了一个模型，在该模型中，接触频率预测的工蚁，形成一个线索的数量。我们验证了我们的模型的估计与蚂蚁专家在文献中报告的经验数据相匹配。在建模和评估中，我们讨论了一种智能蚂蚁物种--白翅斑胸蚁，这是蚂蚁专家们研究的热点。
Ants build a trail that leads to a new location when they move their colony. The trail’s traffic flows smoothly, regardless of the density on the trail. To the best of our knowledge, such a phenomenon has been reported only for ant species. The trail’s capacity is known as trail traffic flow. In this paper, we propose a probabilistic model of trail traffic flow, which overcomes some inadequacies of the kinetic model previously proposed in the literature. Our model answers a question unsolved by the previous model, namely, how many worker ants form such a density-independent trail. We focus on ants’ responses to mutual contacts that involve individuals in trail formation. We propose a model in which contact frequency predicts the number of worker ants that form a trail. We verify that our model’s estimates match the empirical data that ant experts reported in the literature. In modeling and evaluation, we discuss an intelligent ant species, the house-hunting ant Temnothorax albipennis, which is popular among the ant experts.