G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Anonymous Social Influence
Manuel Förster; Michel Grabisch; Agnieszka Rusinowsk
发表日期2013
出处Climate Change and Sustainable Development
出版年2013
语种英语
摘要We study a stochastic model of influence where agents have “yes” or “no” inclinations on some issue, and opinions may change due to mutual influence among the agents. Each agent independently aggregates the opinions of the other agents and possibly herself. We study influence processes modelled by ordered weighted averaging operators, which are anonymous: they only depend on how many agents share an opinion. For instance, this allows to study situations where the influence process is based on majorities, which are not covered by the classical approach of weighted averaging aggregation. We find a necessary and sufficient condition for convergence to consensus and characterize outcomes where the society ends up polarized. Our results can also be used to understand more general situations, where ordered weighted averaging operators are only used to some extent. We provide an analysis of the speed of convergence and the possible outcomes of the process. Furthermore, we apply our results to fuzzy linguistic quantifiers, i.e., expressions like “most” or “at least a few”.
特色分类C7;D7;D85
关键词Influence Anonymity Ordered Weighted Averaging Operator Convergence Consensus Speed Of Convergence Fuzzy Linguistic Quantifier
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/anonymous-social-influence/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/118177
推荐引用方式
GB/T 7714
Manuel Förster,Michel Grabisch,Agnieszka Rusinowsk. Anonymous Social Influence. 2013.
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