在具有异质性的集体意见动态中利用不确定性
Vito Mengers1,2, Mohsen Raoufi3,4, Oliver Brock1,2
1Science of Intelligence, Research Cluster of Excellence, Berlin, Germany.
Scientific reports
|November 8, 2024
概括
代理信息和网络结构的异质性影响集体意见的动态. 将不确定性和适应权重纳入复杂系统中的共识准确性和速度.
科学领域:
- 集体行为研究研究集体行为.
- 网络科学 网络科学
- 信息理论是信息理论.
背景情况:
- 集体系统,无论是自然的还是人工的,由于固有的异质性而表现出复杂的行为.
- 了解个体代理特征和网络结构如何影响群体意见形成至关重要.
研究的目的:
- 调查信息质量异质性和网络中心性对集体意见动态的影响.
- 开发一个模型,其中代理人通过贝叶斯推理和不确定性量化来适应地权衡个人与社会信息.
主要方法:
- 在共识意见动态模型中引入不确定性.
- 模拟的异质网络具有不同的代理中心性和信息质量.
- 使用贝叶斯推理量化和更新的代理不确定性,以实现适应性信息权重.
主要成果:
- 代理不确定性在相互作用过程中演变,反映了网络和信息异质性.
- 基于不确定性的自适应权重提高了共识准确性和速度,特别是在异质系统中.
- 过度自信的中央代理商被发现会对共识准确性产生负面影响.
结论:
- 不确定性是理解集体动态中异质性的关键可观察因素.
- 利用不确定性的适应性权衡机制对于优化不同系统的共识至关重要.
- 考虑不确定性对于分析自然集体和设计人工集体都至关重要.
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