时间顺序的多体相互作用的推理
Unai Alvarez-Rodriguez1,2, Luka V Petrović2, Ingo Scholtes2,3
1University of Deusto, 48007 Bilbao, Spain.
Physical review. E
|October 18, 2023
Insights
我们开发了时间顺序的多体相互作用,以分析具有时间和多体依赖性的复杂系统. 我们的方法有效地从数据中提取这些交互,稳健地处理统计错误.
科学领域:
- 复杂系统科学 复杂系统科学
- 统计物理 统计物理
- 网络科学 网络科学
背景情况:
- 复杂的系统经常表现出时间动态和复杂的多体相互作用.
- 了解这些结合的依赖关系对于建模和预测至关重要.
- 现有的方法可能很难捕捉到这些系统的全部复杂性.
研究的目的:
- 引入一个新的框架来描述使用时间顺序的多体相互作用的复杂系统.
- 开发一种算法,从观测数据中提取这些相互作用.
- 为描述交互集团的复杂性提供一个衡量标准.
主要方法:
- 多变量马尔科夫连锁动力学的分解为时间顺序的多体相互作用.
- 开发一个数据驱动的算法,用于互动提取.
- 介绍了对交互组合的复杂度指标.
- 实验验证算法的稳定性和效率.
主要成果:
- 证明了马尔科夫连锁动力学的分解成时间顺序的多体相互作用.
- 介绍了一种强大而高效的算法,用于从系统动态中提取这些相互作用.
- 展示了推断节互动合奏的能力.
结论:
- 时间顺序的多体相互作用为复杂系统提供了强大的框架.
- 开发的算法提供了一种可靠的方法来分析时间和多体依赖关系.
- 这种方法提高了我们模拟和理解复杂系统行为的能力.
抽象的
No abstract available in PubMed .
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