论文标题
基于分类的意见形成模型嵌入了代理人的心理特征
Classification-Based Opinion Formation Model Embedding Agents' Psychological Traits
论文作者
论文摘要
我们提出了一个以两倍新颖性为特征的基于代理的意见形成模型。首先，我们实际上假定每个代理人都不能以无限的决议和准确性来衡量其邻居的意见，因此，它只能将他人的意见分类为与给定的陈述同意更多，或更多，比较或更少，或更少或更少（比本身）。这导致基于分类的规则以进行意见更新。其次，我们考虑了三种由重大社会学和心理学研究所暗示的互补药物：顺从，激进主义和固执。我们依靠世界价值调查数据来表明，所提出的模型有可能预测现实生活中意见的演变：基于分类的方法和互补的代理特征会产生丰富的集体行为，例如极化，共识和聚类，这可以产生与调查结果相似的预测意见。
We propose an agent-based opinion formation model characterised by a two-fold novelty. First, we realistically assume that each agent cannot measure the opinion of its neighbours with infinite resolution and accuracy, and hence it can only classify the opinion of others as agreeing much more, or more, or comparably, or less, or much less (than itself) with a given statement. This leads to a classification-based rule for opinion update. Second, we consider three complementary agent traits suggested by significant sociological and psychological research: conformism, radicalism and stubbornness. We rely on World Values Survey data to show that the proposed model has the potential to predict the evolution of opinions in real life: the classification-based approach and complementary agent traits produce rich collective behaviours, such as polarisation, consensus, and clustering, which can yield predicted opinions similar to survey results.
