发表机构
University of Amsterdam（阿姆斯特丹大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究将心理症状动态建模为随机慢-快系统，其中快速症状网络嵌入慢速情境场。模拟显示情境场变化可改变症状系统宏观状态，且反馈延迟恢复并产生初始条件依赖。省略情境场个体差异会导致耦合估计偏差，为区分激活与耦合变化提供理论基础。
AI 中文摘要
心理动态在多个时间尺度上展开：症状和其他心理状态可以快速变化，而社会、环境、生物和发展条件则往往演化得更慢。我们将这一结构表述为一个随机慢-快系统，其中二元症状状态形成一个嵌入在慢速情境场中的快速交互网络。成对症状耦合控制着快速层内的交互，而情境场则改变症状特异性的激活倾向，并且本身可以接收来自持续症状激活的反馈。模拟表明，即使底层交互矩阵保持不变，慢速场的变化也能改变症状系统的宏观激活状态。对场的扰动会产生症状激活的短暂增加，随后恢复，而快速层和慢速层之间的反馈会延迟恢复，并且当反馈足够强时，会产生对初始条件的依赖性。我们进一步表明，当网络估计中省略了情境场的个体间差异时，推断出的系统表现出更强的总耦合，以及在数据生成模型中未耦合的症状对之间出现非零耦合。因此，缓慢变化的情境可以改变快速心理系统的动态和表观交互结构。该框架将心理网络模型与慢-快动力系统联系起来，并为区分激活变化与耦合变化提供了正式基础。
英文摘要
Psychological dynamics unfold across multiple timescales: symptoms and other psychological states can change rapidly, whereas social, environmental, biological, and developmental conditions often evolve more slowly. We formulate this structure as a stochastic slow-fast system in which binary symptom states form a fast interacting network embedded within a slow contextual field. Pairwise symptom coupling governs interactions within the fast layer, while the contextual field shifts symptom-specific activation tendencies and can itself receive feedback from sustained symptom activation. Simulations show that changes in the slow field can shift the macroscopic activation state of the symptom system even when the underlying interaction matrix remains fixed. Perturbations to the field generate transient increases in symptom activation followed by recovery, while feedback between the fast and slow layers delays recovery and, when sufficiently strong, produces dependence on initial conditions. We further show that when between-person variation in the contextual field is omitted from network estimation, the inferred system exhibits stronger total coupling and nonzero couplings between symptom pairs that are uncoupled in the data-generating model. Thus, slowly varying context can alter both the dynamics and the apparent interaction structure of a fast psychological system. The framework connects psychological network models with slow-fast dynamical systems and provides a formal basis for distinguishing changes in activation from changes in coupling.
Comments50 pages, 5 figures. Includes appendices
