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arXiv 2105.00577math.OCmath.DS
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混合Hegselmann-Krause动力学--非确定性情形

Mixed Hegselmann-Krause Dynamics--Nondeterministic Case

Hsin-Lun Li

摘要:

最初的Hegselmann-Krause(HK)模型是由有限数量的代理人组成的,他们的意见,$[0,1]$中的一个数字。代理通过将其邻居的平均意见更新其意见,所述邻居的意见最多相差$ε$(对于$ε>0$)作为置信界限。如果一个智能体在更新时不改变自己的观点,那么它是绝对顽固的;如果它的更新是邻居的平均观点,那么它是绝对开放的。有两种类型的HK模型-同步HK模型和异步HK模型。本文是关于HK动态的一个变体,称为混合模型,其中每个代理可以选择其一致性程度,并将其意见与其邻居的平均意见在任何时候混合。如果所有的代理人都是绝对开放的所有时间的混合模型减少到同步HK模型,和异步HK模型,如果只有一个均匀随机选择的代理人是绝对开放的所有时间和其他人是绝对顽固的。在\cite{mhk}中,我们讨论了混合模型的确定性。指出了同步HK模型的一些性质,如有限时间收敛性,在混合模型中不成立。在本课题中,我们研究了非确定性的混合模型。列出异步模型中不适用于混合模型的一些属性。然后,研究了渐近稳定性成立的条件。

英文摘要:

The original Hegselmann-Krause (HK) model is composed of a finite number of agents characterized by their opinion, a number in $[0,1]$. An agent updates its opinion via taking the average opinion of its neighbors whose opinion differs by at most $ε$ for $ε>0$ a confidence bound. An agent is absolutely stubborn if it does not change its opinion while update, and absolutely open-minded if its update is the average opinion of its neighbors. There are two types of HK models--the synchronous HK model and the asynchronous HK model. The paper is about a variant of the HK dynamics, called the mixed model, where each agent can choose its degree of stubbornness and mix its opinion with the average opinion of its neighbors at all times. The mixed model reduces to the synchronous HK model if all agents are absolutely open-minded all the time, and the asynchronous HK model if only one uniformly randomly selected agent is absolutely open-minded and the others are absolutely stubborn at all times. In \cite{mhk}, we discuss the mixed model deterministically. Point out some properties of the synchronous HK model, such as finite-time convergence, do not hold for the mixed model. In this topic, we study the mixed model nondeterministically. List some properties of the asynchronous model which do not hold for the mixed model. Then, study circumstances under which the asymptotic stability holds.

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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