基于Agent的模拟建模，用于反映数字心理健康的后果
Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health
摘要：
这篇工作论文的前提是基于基于代理的仿真模型，以及如何从给定的不完整信息中创建它们。基于代理的模拟是随机模拟，围绕代理组进行，每个代理都有自己的特征并可以做出决策。这种模拟可以用来模拟现实生活中的情况，并创建假设的情况下，不需要现实世界的测试之前。在这里，我们描述了一个基于代理的仿真模型的发展，研究未来的数字心理健康的情况。一个不完整的概念模型被用作这一发展的基础。为了定义对刺激的反应的差异，我们采用了模糊决策逻辑。该模型已经实现，但尚未用于结构化实验。这是我们计划的下一步。
英文摘要：
The premise of this working paper is based around agent-based simulation models and how to go about creating them from given incomplete information. Agent-based simulations are stochastic simulations that revolve around groups of agents that each have their own characteristics and can make decisions. Such simulations can be used to emulate real life situations and to create hypothetical situations without the need for real-world testing prior. Here we describe the development of an agent-based simulation model for studying future digital mental health scenarios. An incomplete conceptual model has been used as the basis for this development. To define differences in responses to stimuli we employed fuzzy decision making logic. The model has been implemented but not been used for structured experimentation yet. This is planned as our next step.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
