领导者和追随者:随机运动世界中意见动态和有界置信度模型中的代理人

Shusong Li, Shiyong Zhang
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引用次数: 4

摘要

我们提出并分析了随机运动世界上的意见动态和有界置信度模型。有两种交互机制。“视线”限制了代理周围的邻居集合,“有限置信度”选择代理在集合中交换意见。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。当交换结束时,每个代理向随机方向移动并等待下一个时间步骤。模型中有三种特工,感染者,极端分子和领导者。感染者被指定为具有大视野的代理人,极端分子被指定为具有高置信度的代理人。这个领导人既自信又有远见。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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leader and follower: Agents in an Opinion Dynamics and Bounded Confidence model on the stochastic movement world
We present and analyze a model of Opinion Dynamics and Bounded Confidence on the stochastic movement world. There are two mechanisms for interaction. ‘Eyeshot’ limits the set of neighbors around the agent and ‘Bounded Confidence’ chooses the agents to exchange the opinion in the set. 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 random direction and waits for the next time step. There are three special agents in the model, infector, extremist and leader. The infector is specified as an agent with large eyeshot and the extremist is the agent with high confidence. The leader possesses both high confidence and large eyeshot. 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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