Esponda Fernando, Gordon Deborah M
Department of Computer Science, Instituto Tecnológico Autónomo de México, México D.F. 01080, Mexico.
Department of Biology, Stanford University, CA 94305, USA
Proc Biol Sci. 2015 May 7;282(1806):20142838. doi: 10.1098/rspb.2014.2838.
We propose a distributed model of nestmate recognition, analogous to the one used by the vertebrate immune system, in which colony response results from the diverse reactions of many ants. The model describes how individual behaviour produces colony response to non-nestmates. No single ant knows the odour identity of the colony. Instead, colony identity is defined collectively by all the ants in the colony. Each ant responds to the odour of other ants by reference to its own unique decision boundary, which is a result of its experience of encounters with other ants. Each ant thus recognizes a particular set of chemical profiles as being those of non-nestmates. This model predicts, as experimental results have shown, that the outcome of behavioural assays is likely to be variable, that it depends on the number of ants tested, that response to non-nestmates changes over time and that it changes in response to the experience of individual ants. A distributed system allows a colony to identify non-nestmates without requiring that all individuals have the same complete information and helps to facilitate the tracking of changes in cuticular hydrocarbon profiles, because only a subset of ants must respond to provide an adequate response.
我们提出了一种蚁巢伙伴识别的分布式模型,类似于脊椎动物免疫系统所使用的模型,其中蚁群的反应源自许多蚂蚁的不同反应。该模型描述了个体行为如何产生蚁群对非巢伴的反应。没有一只蚂蚁知道蚁群的气味特征。相反,蚁群特征是由蚁群中的所有蚂蚁共同定义的。每只蚂蚁通过参考自己独特的决策边界来对其他蚂蚁的气味做出反应,这是其与其他蚂蚁相遇经历的结果。因此,每只蚂蚁将特定的一组化学特征识别为非巢伴的特征。正如实验结果所示,该模型预测行为测定的结果可能是可变的,它取决于测试蚂蚁的数量,对非巢伴的反应会随时间变化,并且会因个体蚂蚁的经历而改变。分布式系统使蚁群能够识别非巢伴,而无需所有个体都拥有相同的完整信息,并且有助于促进对表皮碳氢化合物特征变化的追踪,因为只需要一部分蚂蚁做出反应就能提供足够的响应。