社会网络中的连续意见与离散行动:一种多智能体系统方法
Continuous opinions and discrete actions in social networks: a multi-agent system approach
AI总结:
本文提出并分析了一种新型多智能体意见动力学模型,其中智能体可以获取其邻居意见的量化版本作为行动。该模型在连接网络中产生社会网络中观察到的不同行为,如共识、聚类、振荡、意见传播等,并在完全和环形通信图中提供完整的分析以实现意见预测。
摘要:
本文提出并分析了一种新型多智能体意见动力学模型,其中智能体可以获取其邻居意见的量化版本作为行动。该模型在连接网络中产生社会网络中观察到的不同行为,如共识、聚类、振荡、意见传播等。本文的主要结果提供了在一般通信拓扑下行动的保持和扩散的特征分析。在完全和环形通信图的特定情况下,给出了允许意见预测的完整分析。数值示例展示了该模型的主要特征。
英文摘要:
This paper proposes and analyzes a novel multi-agent opinion dynamics model in which agents have access to actions which are quantized version of the opinions of their neighbors. The model produces different behaviors observed in social networks such as disensus, clustering, oscillations, opinion propagation, even when the communication network is connected. The main results of the paper provides the characterization of preservation and diffusion of actions under general communication topologies. A complete analysis allowing the opinion forecasting is given in the particular cases of complete and ring communication graphs. Numerical examples illustrate the main features of this model.
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