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Pheromone communication in ants: a detailed analysis of concentration-dependent decisions in three species

机译:信息素在蚂蚁中的交流:三种物种中浓度依赖性决定的详细分析

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The collective behavior of ants and the emergence of self-organizing patterns in ant colonies have been explained with various theoretical approaches based on models of trail following behavior elicited by pheromones. Although existing models can explain collective behavior of ants, there is little empirical evidence on how ants precisely respond to various pheromone concentrations. Thus, important knowledge is lacking about how much realistic description of ant behavior can be provided by the models and their underlying mathematical functions. To fill in this gap, we conducted experiments with three different ant species to explore their responses to varying concentrations of pheromones that elicit ants' trail following behavior. We found that ants' decision making processes in trail following are best explained by psychophysical theory (PT), which describes the relationship between physical stimuli, sensory perception and decision making in humans, other primates, birds and insects. Furthermore, the theory provides clear definitions of biological parameters, such as detection- and discrimination thresholds. The species studied were distinctively different in the shape and parameters of their psychometric functions, which we attribute to specific adaptions to their environment. The observed differences are discussed in relation to their natural trail following behaviors. Our study opens a new perspective of understanding and explaining important aspects of collective ant behavior using a well-established theory of perception
机译:基于信息素引发的追踪行为模型,已经用各种理论方法解释了蚂蚁的集体行为和自组织模式在蚁群中的出现。尽管现有模型可以解释蚂蚁的集体行为,但是,关于蚂蚁如何精确响应各种信息素浓度的经验证据很少。因此,缺少有关模型及其基本数学功能可以提供多少实际的蚂蚁行为描述的重要知识。为了填补这一空白,我们对三种不同的蚂蚁物种进行了实验,以探索它们对不同浓度信息素的反应,这些信息素引起蚂蚁追踪行为。我们发现,蚂蚁在追踪中的决策过程最好由心理物理理论(PT)来解释,该理论描述了人类,其他灵长类动物,鸟类和昆虫的物理刺激,感觉知觉和决策之间的关系。此外,该理论为生物学参数(例如检测和区分阈值)提供了清晰的定义。所研究的物种在心理功能的形状和参数上明显不同,我们将其归因于对环境的特定适应。讨论了观察到的差异及其自然跟踪行为。我们的研究使用成熟的感知理论为理解和解释集体蚂蚁行为的重要方面开辟了新的视角

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