发表机构
TU Dortmund University（多特蒙德工业大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究提出物理启发的人际沟通动力学模型，通过信息势能景观和耦合强度解析关系演变，模拟显示信息差异可致关系恢复或恶化。
AI 中文摘要
提出了一种物理启发的人际沟通动力学模型，用以描述信息解读如何影响两个相互作用系统之间关系的演变。该模型区分了预期信息与观测信息，前者在抽象信息空间中表示为渐近极限。引入了一个具有局部极小值和递增势垒的信息势能景观，用以表示稳定的信息状态和有限的信息可及性。信息传递和处理通过一个通用的思维处理函数来描述，而信息状态之间的分离决定了相互作用系统之间的耦合强度。关系动力学随后由耦合强度以及两个系统的独立情感所定义。数值模拟展示了在确定性和波动性信息处理下的势能景观、信息动力学以及几种关系状态。一个示例性动力学情景进一步表明，出现的信息差异可能导致关系恢复或恶化，这取决于信息分离、耦合和个体情感的后续演变。该模型提供了一个简单的物理启发框架，用于将人际沟通描述为一个耦合的动力学过程。
英文摘要
A physics-inspired dynamical model of interpersonal communication is proposed to describe how information interpretation can influence the evolution of a relationship between two interacting systems. The model distinguishes between intended information and observed information, with the former represented as an asymptotic limit in an abstract information space. An information potential landscape with local minima and increasing potential barriers is introduced to represent stable information states and limited information accessibility. Information transmission and processing are described through a general thought-processing function, while the separation between information states determines the coupling strength between the interacting systems. The relationship dynamics is then defined from the coupling strength and the independent sentiments of the two systems. Numerical simulations demonstrate the potential landscape, information dynamics, and several relationship regimes under deterministic and fluctuating information processing. An illustrative dynamical scenario further shows that an emerging information discrepancy can lead to either relationship recovery or deterioration depending on the subsequent evolution of information separation, coupling, and individual sentiment. The model provides a simple physics-inspired framework for describing interpersonal communication as a coupled dynamical process.
Comments15 pages, 11 figures
