在复杂的过程中信息产生的等价性和通用的值
Rudolf Hanel1,2, Stefan Thurner1,2,3
1Section for Science of Complex Systems, CeMDS, Medical University of Vienna, Vienna, Austria.
PloS one
|September 6, 2023
概括
这项研究澄清了博尔兹曼与复杂系统兼容. 对于非独立且相同分布的 (non-i.i.d.) 在这些过程中,博尔兹曼与通用一致,解决了统计物理学中感知的不兼容性.
科学领域:
- 统计物理 统计物理
- 信息理论 信息理论
- 复杂系统分析 复杂系统分析
背景情况:
- 具有强烈相关性和粗尾分布的复杂系统挑战了传统的框架.
- 对于这样的系统,一般化被提出为博尔兹曼-吉布斯的替代方案.
研究的目的:
- 证明博尔兹曼与复杂系统兼容.
- 为了证明所感知的不兼容性源于对非二进制的形式的误解. 一个过程,一个过程.
主要方法:
- 对过程的形式的导出,这些过程以非对称地映射到可逆的连接表示.
- 在这些表示中使用香农的信息生成分析.
- 将函数转换为原始采样空间.
主要成果:
- 博尔兹曼 (日志复数) 对包括复杂系统在内的广泛类型的过程是有效的.
- 对于非身份识别的人来说. 在这些过程中,博尔兹曼自然会以通用的形式出现.
- 找到相邻的表示方法简化了对上下文敏感的函数的构建.
结论:
- 博尔兹曼-吉布斯和复杂系统之间的感知不相容是一个误解.
- 建立了一个统一的框架,用于统计物理强度相关和复杂的系统.
- 该方法提供了一种途径,可以通过附属表示来构建通用的.
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