非线性智能体动力学:哪个度量可以减轻极化?

IF 1.9 4区 工程技术 Q3 ENGINEERING, MECHANICAL
Bodo Herzog
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引用次数: 1

摘要

本文提供了一个基于随机主体的模型来展示聚合指标在缓解复杂社会中的两极分化中的作用。我们的社会物理学模型是基于相互作用和非线性布朗代理的,这使我们能够研究集体意见的出现。agent的意见xi(t)在区间[0,1]内是一个连续的正值。我们发现(i)大多数代理指标显示相似的结果。中间度量法和噪声度量法获得新的趋向同化或分裂的意见动态。(iii)我们表明,开发的2阶段度量提供了关于收敛和均衡的新见解。总之,我们的模拟证明了制度的力量,它影响集体行为的出现。因此,在一个分散的复杂社会中,意见的形成依赖于个人信息处理和集体行为规则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonlinear Agent-Based Dynamics: Which Metric Mitigates Polarization?
This article provides a stochastic agent-based model to exhibit the role of aggregation metrics in order to mitigate polarization in a complex society. Our sociophysics model is based on interacting and nonlinear Brownian agents, which allow us to study the emergence of collective opinions. The opinion of an agent, xi(t) is a continuous positive value in an interval [0,1]. We find (i) most agent-metrics display similar outcomes. (ii) The middle-metric and noisy-metric obtain new opinion dynamics either towards assimilation or fragmentation. (iii) We show that a developed 2-stage metric provide new insights about convergence and equilibria. In summary, our simulation demonstrates the power of institutions, which affect the emergence of collective behavior. Consequently, opinion formation in a decentralized complex society is reliant to the individual information processing and rules of collective behavior.
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来源期刊
CiteScore
4.00
自引率
10.00%
发文量
72
审稿时长
6-12 weeks
期刊介绍: The purpose of the Journal of Computational and Nonlinear Dynamics is to provide a medium for rapid dissemination of original research results in theoretical as well as applied computational and nonlinear dynamics. The journal serves as a forum for the exchange of new ideas and applications in computational, rigid and flexible multi-body system dynamics and all aspects (analytical, numerical, and experimental) of dynamics associated with nonlinear systems. The broad scope of the journal encompasses all computational and nonlinear problems occurring in aeronautical, biological, electrical, mechanical, physical, and structural systems.
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