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从蜜蜂到机器人,再回归:基于划分社会抑制的劳动分工。

From honeybees to robots and back: division of labour based on partitioning social inhibition.

作者信息

Zahadat Payam, Hahshold Sibylle, Thenius Ronald, Crailsheim Karl, Schmickl Thomas

机构信息

Artificial Life Lab of the Department of Zoology, Universitätsplatz 2, Karl-Franzens University Graz, A-8010 Graz, Austria.

出版信息

Bioinspir Biomim. 2015 Oct 26;10(6):066005. doi: 10.1088/1748-3190/10/6/066005.

Abstract

In this paper, a distributed adaptive partitioning algorithm inspired by division of labor in honeybees is investigated for its applicability in a swarm of underwater robots in one hand and is qualitatively compared with the behavior of honeybee colonies on the other hand. The algorithm, partitioning social inhibition (PSI), is based on local interactions and uses a simple logic inspired from age-polyethism and task allocation in honeybee colonies. The algorithm is analyzed in simulation and is successfully applied here to partition a swarm of underwater robots into groups demonstrating its adaptivity to changes and applicability in real world systems. In a turn towards the inspiration origins of the algorithm, three honeybee colonies are then studied for age-polyethism behaviors and the results are contrasted with a simulated swarm running the PSI algorithm. Similar effects are detected in both the biological and simulated swarms suggesting biological plausibility of the mechanisms employed by the artificial system.

摘要

在本文中,研究了一种受蜜蜂分工启发的分布式自适应分区算法,一方面考察其在一群水下机器人中的适用性,另一方面将其与蜜蜂群体的行为进行定性比较。该算法,即分区社会抑制(PSI),基于局部交互,并采用了受蜜蜂群体中年龄多态性和任务分配启发的简单逻辑。对该算法进行了仿真分析,并在此成功应用于将一群水下机器人分成若干组,证明了其对变化的适应性以及在现实世界系统中的适用性。转而关注该算法的灵感来源,随后研究了三个蜜蜂群体的年龄多态性行为,并将结果与运行PSI算法的模拟群体进行对比。在生物群体和模拟群体中均检测到类似效应,这表明人工系统所采用机制具有生物学合理性。

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