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The impact of agent density on scalability in collective systems: noise-induced versus majority-based bistability
Swarm Intelligence ( IF 2.6 ) Pub Date : 2017-05-17 , DOI: 10.1007/s11721-017-0137-6 Yara Khaluf , Carlo Pinciroli , Gabriele Valentini , Heiko Hamann
Swarm Intelligence ( IF 2.6 ) Pub Date : 2017-05-17 , DOI: 10.1007/s11721-017-0137-6 Yara Khaluf , Carlo Pinciroli , Gabriele Valentini , Heiko Hamann
In this paper, we show that non-uniform distributions in swarms of agents have an impact on the scalability of collective decision-making. In particular, we highlight the relevance of noise-induced bistability in very sparse swarm systems and the failure of these systems to scale. Our work is based on three decision models. In the first model, each agent can change its decision after being recruited by a nearby agent. The second model captures the dynamics of dense swarms controlled by the majority rule (i.e., agents switch their opinion to comply with that of the majority of their neighbors). The third model combines the first two, with the aim of studying the role of non-uniform swarm density in the performance of collective decision-making. Based on the three models, we formulate a set of requirements for convergence and scalability in collective decision-making.
中文翻译:
代理密度对集体系统可伸缩性的影响:噪声诱发的与基于多数的双稳态
在本文中,我们表明,大量的代理人分布不均匀会影响集体决策的可扩展性。特别是,我们强调了在非常稀疏的群体系统中噪声诱发的双稳态的相关性以及这些系统无法扩展规模。我们的工作基于三个决策模型。在第一个模型中,每个代理商可以在附近代理商招募后更改其决策。第二个模型捕获了由多数规则控制的密集群的动态(即,代理改变他们的意见以遵守大多数邻居的意见)。第三个模型结合了前两个模型,目的是研究非均匀群密度在集体决策绩效中的作用。基于这三种模型,
更新日期:2017-05-17
中文翻译:
代理密度对集体系统可伸缩性的影响:噪声诱发的与基于多数的双稳态
在本文中,我们表明,大量的代理人分布不均匀会影响集体决策的可扩展性。特别是,我们强调了在非常稀疏的群体系统中噪声诱发的双稳态的相关性以及这些系统无法扩展规模。我们的工作基于三个决策模型。在第一个模型中,每个代理商可以在附近代理商招募后更改其决策。第二个模型捕获了由多数规则控制的密集群的动态(即,代理改变他们的意见以遵守大多数邻居的意见)。第三个模型结合了前两个模型,目的是研究非均匀群密度在集体决策绩效中的作用。基于这三种模型,