文章基本信息

标题：Differential Equation Models Derived from an Individual-Based Model Can Help to Understand Emergent Effects
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作者：Sylvie Huet ; Guillaume Deffuant
期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2008
卷号：11
期号：2
页码：1-16
出版社：University of Surrey, Department of Sociology
摘要：We study a model of primacy effect on individual's attitude. Typically, when receiving a strong negative feature first, the individual keeps a negative attitude whatever the number of moderate positive features it receives afterwards. We consider a population of individuals, which receive the features from a media, and communicate with each other. We observe that interactions favour the primacy effect, compared with a population of isolated individuals. We derive a differential equation system ruling the evolution of probabilities that individuals retain different sets of features. The study of this aggregated model of the IBM shows that interaction can increase or decrease the number of individuals exhibiting a primacy effect. We verify on the IBM that the interactions can decrease the primacy effect in the conditions suggested by the study of the aggregated model. We finally discuss the interest of such a double-modelling approach (using a model of the individual based model) for this application.
关键词：Primacy Effect; Information Filtering; Agent-Based Model; Aggregated Model; Collective Effects of Interactions; Double-Modelling