经典随机性下的量子因果关系:从物理学到社会科学
Vikram Athalye1, Emmanuel Haven2
1Department of Physics, Cummins College of Engineering for Women, Pune, Maharashtra, India.
概括
经典的随机过程 (CSP) 可以使用量子力学来模拟,这表明它们来自量子因果结构. 这个量子框架解释了随机性和因果关系,在金融建模中有应用.
科学领域:
- 量子物理学 量子物理学 是一种量子物理学.
- 随机过程 随机过程
- 金融建模金融建模
背景情况:
- 经典的随机过程 (CSP) 传统上是在经典范式中建模的.
- 量子物理学为理解随机性和因果关系提供了潜在的新框架.
研究的目的:
- 介绍一个量子力学方法来模拟CSP.
- 提出CSP是从量子因果结构中出现的现象.
- 探索量子形式主义作为一个解释随机行为的框架.
主要方法:
- 为CSP开发量子模拟方法.
- 整合不同的量子解释.
- 纳入知识主体 (SoC) 概念.
- 应用框架来建模股价动态.
主要成果:
- 展示了一种新的量子方法来模拟CSP.
- 建立了CSP与潜在的量子因果结构之间的理论联系.
- 展示了框架在建模金融市场中的实用性.
结论:
- 可以将CSP视为从量子因果关系中出现的现象.
- 量子形式主义提供了对经典随机性的更丰富的理解.
- 拟议的框架对决策模型和财务分析有影响.
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