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首页> 外文期刊>Journal of Theoretical Biology >Random Walk Models of Worker Sorting in Ant Colonies.
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Random Walk Models of Worker Sorting in Ant Colonies.

机译：蚁群中工人分类的随机行走模型。

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摘要

Sorting can be an important mechanism for the transfer of information from one level of biological organization to another. Here we study the algorithm underlying worker sorting in Leptothorax ant colonies. Worker sorting is related to task allocation and therefore to the adaptive advantages associated with an efficient system for the division of labour in ant colonies. We considered four spatially explicit individual-based models founded on two-dimensional correlated random walk. Our aim was to establish whether sorting at the level of the worker population could occur with minimal assumptions about the behavioural algorithm of individual workers. The behaviour of an individual worker in the models could be summarized by the rule "move if you can, turn always". We assume that the turning angle of a worker is individually specific and negatively dependent on the magnitude of an internal parameter &mgr; which could be regarded as a measure of individual experience or task specialization. All four models attained a level of worker sortedness that was compatible with results from experiments onLeptothorax ant colonies. We found that the presence of a sorting pivot, such as the nest wall or an attraction force towards the centre of the worker population, was crucial for sorting. We make a distinction between such pivots and templates and discuss the biological implications of their difference.
机译：分类可能是将信息从一个生物组织的层次转移到另一个层次的重要机制。在这里，我们研究了Leptothorax蚁群中基于工人排序的算法。工人分类与任务分配有关，因此与与蚁群中的劳动分工有效系统相关的自适应优势有关。我们考虑了建立在二维相关随机游动基础上的四个基于空间的基于个体的模型。我们的目标是确定是否可以在对单个工人的行为算法的假设最少的情况下进行工人数量的分类。在模型中，单个工人的行为可以通过规则“归纳”来总结。我们假设工人的转弯角度是个别特定的，并且与内部参数＆mgr;的大小负相关。可以将其视为个人经验或任务专业化的量度。所有这四个模型都达到了与工人对Leptothorax蚂蚁菌落的实验结果兼容的工人分类水平。我们发现，分类枢纽的存在（例如巢壁或朝向工人人口中心的吸引力）对于分类至关重要。我们在这些支点和模板之间进行了区分，并讨论了它们之间差异的生物学含义。

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