在复杂的网络中使用人工智能代理对社会影响的量子灵感建模
A P Alodjants1, D V Tsarev1, P V Zakharenko1
1ITMO University, 197101, St. Petersburg, Russia.
Scientific reports
|October 8, 2025
概括
我们为人类-人工智能系统介绍了一种量子启发型模型,展示了人工智能代理如何影响用户的情绪. 这项研究揭示了两个情感动态:个人差异化和集体同步,影响混合生态系统.
科学领域:
- 计算社会科学 计算社会科学
- 人工智能的人工智能
- 量子启发的计算 量子启发的计算
背景情况:
- 分布式智能系统 (DIS) 涉及自然智能代理 (NIA) 和人工智能代理 (AIA) 之间的相互作用.
- 了解这些混合人类-人工智能生态系统中的情感动态和社会影响至关重要.
- 现有的模型可能无法完全捕捉这些系统中复杂的相互作用和新出现的行为.
研究的目的:
- 提出一种新的量子灵感框架来建模开放的DIS.
- 分析由AIAs影响的用户情绪状态的社会影响和演变.
- 研究网络结构和外部信息在塑造集体情感动态中的作用.
主要方法:
- 在无尺度网络中模拟NIA-AIA交互,使用基于PAD模型的情绪量子式表示.
- 分析情绪状态作为由AIA和外部信息影响的两级认知系统.
- 调查网络结构性质,例如节点度相关性,类似于量子相关性.
主要成果:
- 确定了两个不同的情感行为模式:情感异质性和同步的情感反应.
- 证明兴奋受外部信息和个性特征的影响,导致情绪动态周期的限制.
- 展示了模仿量子相关性的网络特性,导致集体情绪激活 (超辐射状态).
结论:
- 量子启发的框架为理解混合人类-人工智能系统中的情感动态提供了一种新的方法.
- 网络结构和信息传播显著影响个人和集体的情绪状态.
- 这些发现推动了对日益复杂的人类-人工智能生态系统中新兴社会现象的研究.
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