一种基于记忆的方法来模拟爱情的光荣不确定性
Aarsh Chotalia1, Shiva Dixit1,2, P Parmananda1
1Department of Physics, Indian Institute of Technology Bombay, Powai, Mumbai 400 076, India.
Chaos (Woodbury, N.Y.)
|November 27, 2023
概括
这项研究使用复杂变量模型关系,结合记忆来解释独特的,不可预测的关系动态. 这些发现表明,过去的互动使关系轨迹本质上变得不可预测.
科学领域:
- 复杂的系统复杂的系统.
- 动态系统理论 动态系统理论
- 关系心理学关系的心理学.
背景情况:
- 人际关系表现出复杂,独特,往往不可预测的动态.
- 以前的模型没有完全捕捉到记忆对关系轨迹的影响.
- 建模人际关系动态需要考虑个人情感及其相互作用.
研究的目的:
- 为人际关系提出一个最小但有趣的数学模型.
- 将过去行为的记忆效应纳入关系模型.
- 探索关系动态中多稳定性和非周期性解决方案的出现.
主要方法:
- 模拟个人感受作为具有两个自由度的复杂变量.
- 通过对个体的感受之间结合的结合,将记忆纳入记忆.
- 分析多稳定解决方案和无周期轨迹的参数空间.
主要成果:
- 该模型展示了多稳定的解决方案,其中不同的初始条件导致不同的无周期轨迹.
- 记忆的包含导致了独特和非周期性的关系路径.
- 由于记忆效应,预测一段关系的长期轨迹变得不可能.
结论:
- 记忆是塑造独特和不可预测的关系动态的关键因素.
- 拟议的模型与观察到的现实世界关系的无周期性质保持一致.
- 由于过去的互动的影响,人际关系轨迹从根本上是不可预测的.
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