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Updated: Sep 18, 2025

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The HoneyComb Paradigm for Research on Collective Human Behavior
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为什么集体行为自我组织到关键性:一本信息理论和热力学实用性测量的入门书
Qianyang Chen1, Mikhail Prokopenko1
1Faculty of Engineering, School of Computer Science, The University of Sydney, Sydney, New South Wales, Australia.
Royal Society open science
|June 26, 2025
概括
集体行为自我组织到关键性,由内在的实用性驱动. 热力学效率,平衡可预测性和能源成本,在关键性上达到顶峰,表明超高效率的原则.
科学领域:
- 复杂系统科学 复杂系统科学
- 统计物理 统计物理
- 信息理论 信息理论
背景情况:
- 集体行为往往表现出对关键状态的自我组织.
- 现有的解释在科学学科中分散.
- 了解自我组织到批判性的内在驱动力是一个关键的挑战.
研究的目的:
- 为了比较驱动集体行为的内在实用性,自我组织接近关键性.
- 研究基于信息的方法 (预测信息,赋权,主动推理) 和热力学效率.
- 分析如何优化不同的公用事业塑造集体行为.
主要方法:
- 将伊辛格模型解释为一个感知-动作循环.
- 在优化预测信息,赋权,主动推理和热力学效率下比较集体行为.
- 分析由独特的内在效用塑造的集体行为特征.
主要成果:
- 热力学效率,定义为获得的可预测性与能源成本相比,在临界状态时最大化.
- 不同的内在实用性导致集体行为的不同特征.
- 以感知-行动循环为框架的Ising模型提供了一个统一的比较框架.
结论:
- 集体行为自我组织到关键性,以实现最佳的热力学效率.
- 提出超效率原理:临界性最大化了相对于热力学成本的缩.
- 信息理论和热力学原理对于理解自我组织的关键性至关重要.
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