The Opinion Dynamics and Bounded Confidence model on Flocking movement world

Shusong Li, Shiyong Zhang
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引用次数: 5

Abstract

We present and analyze a model of Opinion Dynamics and Bounded Confidence on the Flocking movement world. There are two systems for interaction. The theorem of ‘Flocking’ limits the agent's movement around the world and ‘Bounded Confidence’ chooses the agents to exchange the opinion. Every time step, agent i looks for the agents in its eyeshot and adjusts their opinion based on the algorithm of Bounded Confidence. When the exchange ends, every agent moves itself in a specifically direction according to Flocking theorem. We simulated the opinion formation process using the proposed model, results show the system is more realistic than the classic BC model.
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蜂拥运动世界的意见动态与有界置信模型
我们提出并分析了一个关于蜂拥运动世界的意见动态和有界置信度的模型。有两种交互系统。“Flocking”定理限制了agent在世界范围内的移动,“Bounded Confidence”选择了agent交换意见。在每一个时间步,智能体i寻找其视线范围内的智能体,并根据有界置信度算法调整它们的意见。当交易结束时,每个代理人根据群集定理向特定的方向移动。利用该模型对意见形成过程进行了仿真,结果表明,该模型比经典的BC模型更具现实性。
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