通过自适应性更高阶相互作用来控制仿真状态
Andrey V Andreev1,2, Artem A Badarin1,2, Dibakar Ghosh3
1Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia.
Chaos (Woodbury, N.Y.)
|October 1, 2025
概括
高阶网络中的自适应合可以控制嵌合体状态. 这项研究表明,适应可以在库拉莫托振荡器网络中诱导或同步嵌合体状态,小世界拓增强了这些效应.
科学领域:
- 复杂的网络 复杂的网络
- 非线性动力学是一种非线性动力学.
- 统计物理 统计物理
背景情况:
- 高阶相互作用在复杂系统中至关重要.
- 在这些网络中,合适应在虚构状态中的作用还未得到充分研究.
研究的目的:
- 在适应性更高阶交互网络中研究嵌合体状态.
- 分析合适应对网络动态的影响.
主要方法:
- 使用了库拉莫托相振荡器,具有一级和二级相互作用.
- 检查了非本地和小世界网络拓.
- 集成的自适应合机制.
主要成果:
- 适应性合可以从同步状态诱导喜梅拉状态,反之亦然.
- 小世界网络显示了一个更大的参数区域,用于奇默状态.
- 网络拓的实现随机性影响着奇默状态的出现.
结论:
- 合适应提供了一种新的方法来控制更高阶网络中的嵌合体状态.
- 网络拓学显著影响着嵌合体状态的发生和稳定性.
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