Abstract Stress is often seen as a negative factor which affects every individual’s life quality and decision making. To help avoid or deal with extreme emotions caused by an external stressor, a number of practices have been introduced. In the scope of this paper, we take three kinds of therapy into account: mindfulness, humor, and music therapy. This paper aims to see how various practices help people to cope with stress, using mathematical modelling. We present practical implementations in the form of client–server software, incorporating the computational model which describes therapy effects for overcoming stress based on quantitative neuropsychological research. The underlying network model simulates the elicitation of an extremely stressful emotion due to a strong stress-inducing event as an external stimulus, followed by a therapy practice simulation leading to a reduction of the stress level. Each simulation is based on user input and preferences, integrating a parameter tuning process; it fits a simulation for a particular user. The client–server architecture software which has been designed and developed completely fulfills this objective. It includes server part with embedded MATLAB interaction and API for client communication.

中文翻译：

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基于自适应网络模型的减压认知支持模型

摘要 压力通常被视为影响每个人生活质量和决策的负面因素。为了帮助避免或处理由外部压力源引起的极端情绪，已经引入了许多做法。在本文的范围内，我们考虑了三种疗法：正念疗法、幽默疗法和音乐疗法。本文旨在了解各种实践如何使用数学建模帮助人们应对压力。我们以客户端 - 服务器软件的形式呈现实际实现，结合计算模型，该模型描述了基于定量神经心理学研究的克服压力的治疗效果。底层网络模型模拟由于强烈的压力诱发事件作为外部刺激引起的极度压力情绪，然后是治疗实践模拟，从而降低压力水平。每个模拟都基于用户输入和偏好，集成了一个参数调整过程；它适合特定用户的模拟。已设计和开发的客户端-服务器架构软件完全实现了这一目标。它包括具有嵌入式 MATLAB 交互和用于客户端通信的 API 的服务器部分。