低维度非对称互动下的共识动力学

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Silvia Bortot, Ricardo Alberto Marques Pereira, Anastasia Stamatopoulou
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引用次数: 0

摘要

我们考虑一组(N={ 1,ldots,n\}\),(n\ge 2\)相互作用的代理,他们的个人观点(x_{i}\),在某个域(mathbb {D}\subseteq \mathbb {R}\)中取值。代理之间的交互作用表示代理之间相互影响的程度,它由一个对角线为空、对角线外系数在开放单位区间内的一般非对称交互矩阵表示。本文研究了同一作者在以前的出版物中讨论过的线性共识动力学模型的非对称广义化,其中假定了对称的相互作用。我们的主要兴趣在于确定向共识意见渐进收敛的形式。为此,我们提出了一些一般结果,并根据互动结构与不同个人意见的评估审查倾向程度之间的关系,对线性共识动力学的三个特定版本进行了研究。在一般非对称情况下,渐近共识解 \(\tilde{x}\)的解析形式要比对称交互下的复杂得多,我们只在两种低维情况下得到了它。尽管如此,我们还是能够写出这些复杂的解析形式,并以一种可理解的方式安排了众多项,这或许能为探索高维情况下渐近一致解的解析形式提供有用的线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Consensus dynamics under asymmetric interactions in low dimensions

Consensus dynamics under asymmetric interactions in low dimensions

We consider a set \(N = \{ 1,\ldots ,n \}\), \(n\ge 2\), of interacting agents whose individual opinions \( x_{i}\), with \(i \in N \), take values in some domain \(\mathbb {D}\subseteq \mathbb {R}\). The interaction among the agents represents the degree of reciprocal influence which the agents exert upon each other and it is expressed by a general asymmetric interaction matrix with null diagonal and off-diagonal coefficients in the open unit interval. The present paper examines the asymmetric generalization of the linear consensus dynamics model discussed in previous publications by the same authors, in which symmetric interaction was assumed. We are mainly interested in determining the form of the asymptotic convergence towards the consensual opinion. In this respect, we present some general results plus the study of three particular versions of the linear consensus dynamics, depending on the relation between the interaction structure and the degrees of proneness to evaluation review of the various individual opinions. In the general asymmetric case, the analytic form of the asymptotic consensual solution \(\tilde{x}\) is highly more complex than that under symmetric interaction, and we have obtained it only in two low-dimensional cases. Nonetheless, we are able to write those complex analytic forms arranging the numerous terms in an intelligible way which might provide useful clues to the open quest for the analytic form of the asymptotic consensual solution in higher-dimensional cases.

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来源期刊
Soft Computing
Soft Computing 工程技术-计算机:跨学科应用
CiteScore
8.10
自引率
9.80%
发文量
927
审稿时长
7.3 months
期刊介绍: Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.
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