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arXiv 2107.12906math.DScs.MAcs.SYeess.SYmath.CO
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Hegselmann-Krause模型中Lorenz“一致性反击”现象的严格公式和部分结果

A rigorous formulation of and partial results on Lorenz's "consensus strikes back" phenomenon for the Hegselmann-Krause model

Edvin Wedin

摘要:

在2006年的一篇论文中,扬·洛伦茨(Jan Lorenz)在赫格塞尔曼-克劳斯模型的数值模拟中观察到一个奇怪的行为:在某些情况下,让代理人更加封闭的思想可以从密集的意见配置中产生共识,否则会导致分裂。假设我们考虑初始意见在长度为$L$的区间上等距分布。正如Lorenz首先观察到的那样,模拟表明存在三个间隔$[0, L_1)$、$(L_1, L_2)$和$(L_2, L_3)$,其中$L_1 \approx 5.23$、$L_2 \approx 5.67$和$L_3 \approx 6.84$使得当代理的数量足够大时,在第一和第三间隔中发生共识,而对于第二间隔,系统分裂成三个簇。在本文中,我们证明共识$L \leq 5.2$和$L$充分接近6。这些证明包括大量的计算,并且原则上可以使用我们的方法来证明共识的$L$的集合可以通过使用更多的计算能力来扩展。我们还证明了一套$L$的共识发生是开放的。此外,我们证明了,当共识是保证等间距的系统,这反过来又意味着渐近几乎必然的共识时,相同的值的$L$的初始意见是独立的,均匀的随机。因此,我们推测一对相变,精确的洛伦茨的“共识反击”的假设制定。我们的方法利用连续代理模型介绍了由Blondel,Hendrickx和Tsitsiklis。事实上,该文件的一个贡献是提供一个演示文稿的三个不同的模型之间的关系,等距,均匀随机和连续的代理商,分别,这是更严格的比什么可以在现有的文献中找到。

英文摘要:

In a 2006 paper, Jan Lorenz observed a curious behaviour in numerical simulations of the Hegselmann-Krause model: Under some circumstances, making agents more closed-minded can produce a consensus from a dense configuration of opinions which otherwise leads to fragmentation. Suppose one considers initial opinions equally spaced on an interval of length $L$. As first observed by Lorenz, simulations suggest that there are three intervals $[0, L_1)$, $(L_1, L_2)$ and $(L_2, L_3)$, with $L_1 \approx 5.23$, $L_2 \approx 5.67$ and $L_3 \approx 6.84$ such that, when the number of agents is sufficiently large, consensus occurs in the first and third intervals, whereas for the second interval the system fragments into three clusters. In this paper, we prove consensus for $L \leq 5.2$ and for $L$ sufficiently close to 6. These proofs include large computations and in principle the set of $L$ for which consensus can be proven using our approach may be extended with the use of more computing power. We also prove that the set of $L$ for which consensus occurs is open. Moreover, we prove that, when consensus is assured for the equally spaced systems, this in turn implies asymptotic almost sure consensus for the same values of $L$ when initial opinions are drawn independently and uniformly at random. We thus conjecture a pair of phase transitions, making precise the formulation of Lorenz's "consensus strikes back" hypothesis. Our approach makes use of the continuous agent model introduced by Blondel, Hendrickx and Tsitsiklis. Indeed, one contribution of the paper is to provide a presentation of the relationships between the three different models with equally spaced, uniformly random and continuous agents, respectively, which is more rigorous than what can be found in the existing literature.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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