An Urgency-Dependent Quorum Sensing Algorithm for N-Site Selection in Autonomous Swarms
An Urgency-Dependent Quorum Sensing Algorithm for N-Site Selection in Autonomous Swarms
复制标题
一种用于自治群中 N 站点选择的紧急程度群体感知算法
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
D. Sofge
中科院分区：
文献类型：
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作者：
Grace Cai;D. Sofge
个人和群体在决策时权衡决策时间和决策准确性的能力在自然界中很常见，对于灵活的决策响应至关重要。很少有文献模型，这种能力在自治群，其中大量的代理人必须来一个群体的共识，没有一个集中的控制器。本文成功地产生了第一个紧急依赖模型的离散选址的自治群体。它建立了在自然群的蚂蚁和蟑螂中发现的群体感应技术，以及现有的离散选址模型，通过增加代理在决策中进行时间-准确性权衡的能力来改进以前的工作。开发的模型将允许未来的自主蜂群动态有效地应对一系列威胁，如恶劣天气和军事攻击。
The ability for individuals and groups to trade off between decision time and decision accuracy when making decisions is commonly found in nature and essential for flexible decision-making responses. There has been little literature that models this ability in autonomous swarms, in which a large number of agents must come to a group consensus without a centralized controller. This paper successfully produces the first urgency-dependent model for discrete site selection by an autonomous swarm. It builds off of quorum sensing techniques found in natural swarms of ants and cockroaches as well as existing discrete site selection models for swarms to improve on previous work by adding the capability for agents to make a time-accuracy trade-off in decision making. The developed model will allow for future autonomous swarms to dynamically and effectively respond to a range of threats such as inclement weather and military attack.