Socially-Constrained Exogenously-Driven Opinion Dynamics: Explorations with a Multi-agent Model

H. V. Parunak, Elizabeth Downs, Andrew Yinger
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引用次数: 4

Abstract

A number of studies have explored the dynamics of opinion change among interacting knowledge workers, using different modeling techniques. We are particularly interested in the transition from cognitive convergence (a positive group phenomenon) to collapse (which can lead to overlooking critical information). This paper extends previous agent-based studies of this subject in two directions. First, we allow agents to belong to distinct social groups and explore the effect of varying degrees of within-group affinity. Second, we provide exogenous drivers of agent opinion in the form of a dynamic set of documents that they may query. We exhibit a metastable configuration of this system with three distinct phases, and develop an operational metric for distinguishing convergence from collapse in the final phase. Then we use this metric to explore the system's dynamics, over the space defined by social affinity and precision of queries against documents, and under a range of different functions for the influence that an interaction partner has on an agent.
社会约束的外生驱动的意见动力学:多智能体模型的探索
许多研究使用不同的建模技术,探索了相互作用的知识工作者之间意见变化的动态。我们对从认知趋同(一种积极的群体现象)到崩溃(可能导致忽视关键信息)的转变特别感兴趣。本文从两个方面扩展了以往基于主体的研究。首先,我们允许代理人属于不同的社会群体,并探索不同程度的群体内亲和力的影响。其次,我们以代理可能查询的动态文档集的形式提供代理意见的外生驱动因素。我们展示了该系统具有三个不同阶段的亚稳态配置,并开发了一个可操作的度量来区分最后阶段的收敛和崩溃。然后,我们使用这个度量来探索系统的动态,在由社会亲和力和对文档查询的精度定义的空间上,以及在交互伙伴对代理的影响的一系列不同功能下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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