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Psychotherapy Is Chaotic—(Not Only) in a Computational World

机译:心理治疗是混乱的-(不仅是)在计算世界中

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摘要

>Objective: The aim of this article is to outline the role of chaotic dynamics in psychotherapy. Besides some empirical findings of chaos at different time scales, the focus is on theoretical modeling of change processes explaining and simulating chaotic dynamics. It will be illustrated how some common factors of psychotherapeutic change and psychological hypotheses on motivation, emotion regulation, and information processing of the client's functioning can be integrated into a comprehensive nonlinear model of human change processes.>Methods: The model combines 5 variables (intensity of emotions, problem intensity, motivation to change, insight and new perspectives, therapeutic success) and 4 parameters into a set of 5 coupled nonlinear difference equations. The results of these simulations are presented as time series, as phase space embedding of these time series (i.e., attractors), and as bifurcation diagrams.>Results: The model creates chaotic dynamics, phase transition-like phenomena, bi- or multi-stability, and sensibility of the dynamic patterns on parameter drift. These features are predicted by chaos theory and by Synergetics and correspond to empirical findings. The spectrum of these behaviors illustrates the complexity of psychotherapeutic processes.>Conclusion: The model contributes to the development of an integrative conceptualization of psychotherapy. It is consistent with the state of scientific knowledge of common factors, as well as other psychological topics, such as: motivation, emotion regulation, and cognitive processing. The role of chaos theory is underpinned, not only in the world of computer simulations, but also in practice. In practice, chaos demands technologies capable of real-time monitoring and reporting on the nonlinear features of the ongoing process (e.g., its stability or instability). Based on this monitoring, a client-centered, continuous, and cooperative process of feedback and control becomes possible. By contrast, restricted predictability and spontaneous changes challenge the usefulness of prescriptive treatment manuals or other predefined programs of psychotherapy.
机译:>目的:本文旨在概述混沌动力学在心理治疗中的作用。除了在不同时间尺度上对混沌的一些经验发现外,重点还在于解释和模拟混沌动力学的变化过程的理论模型。将说明如何将心理治疗改变的一些常见因素以及关于动机,情绪调节和客户功能信息处理的心理学假设整合到人类变化过程的综合非线性模型中。>方法:该模型将5个变量(情绪强度,问题强度,改变的动力,洞察力和新观点,治疗成功)和4个参数组合成一组5个耦合的非线性差分方程。这些模拟的结果显示为时间序列,这些时间序列的相空间嵌入(即吸引子)和分叉图。>结果:该模型创建混沌动力学,类似相变的现象,双稳定性或多稳定性,以及动态模式对参数漂移的敏感性。这些特征由混沌理论和协同学预测,并与经验发现相对应。这些行为的范围说明了心理治疗过程的复杂性。>结论:该模型有助于心理治疗的综合概念化。它与常见因素以及其他心理学主题(例如:动机,情绪调节和认知过程)的科学知识状态一致。混沌理论的作用不仅在计算机仿真领域而且在实践中都得到了支持。在实践中,混乱需要能够实时监视和报告正在进行的过程的非线性特征(例如,其稳定性或不稳定性)的技术。基于此监视,以客户为中心,连续和协作的反馈和控制过程成为可能。相比之下,有限的可预测性和自发的变化挑战了处方治疗手册或其他预定义的心理治疗计划的实用性。

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