The purpose of this study is to introduce software technologies and models and artificial intelligence algorithms to improve the weaknesses of CBT (Cognitive Behavior Therapy) method in psychotherapy. The presentation method for this purpose is the implementation of psychometric experiments in which the hidden human variables are inferred from the answers of tests. In this report, we describe the various models of Item Response Theory and measure the hidden components of ability and complementary parameters of the reality of the individual's situation. Psychometrics, selecting the appropriate model and estimating its parameters have been introduced and implemented using R language developed libraries. Due to the high flexibility of the Multi variant Rasch mixture Model, machine learning has been applied to this method of data modeling. BIC and CML were used to determine the number of hidden classes of the model and its parameters respectively, to obtain Measurement Invariance. The sensitivity of items to hidden attributes varies between groups (DIF), so methods for detecting it are introduced. This simulation is done based on the Verbal Aggression Dataset. We also analyze and compile a reference model based on this certificate based on the discovered patterns of software engineering. Other achievements of this study are related to providing a solution to explain the reengineering problems of the mind, by preparing an identity card for the clients by an ontology. Finally, applying the developed knowledge in the form of system thinking and recommended patterns in software engineering during the treatment process is pointed out.
翻译:这项研究的目的是引进软件技术和模型以及人工智能算法,以便改进CBT(CBT)在心理治疗方面的弱点。为此目的,采用的方法是进行心理测定实验,从测试的答案中推断隐藏的人类变量。我们在本报告中描述了各种项目反应理论模型,并测量了个人处境现实中隐藏的能力和互补参数的成分。通过使用R语言开发的图书馆,引入并实施了心理测定、选择适当的模型和估计其参数。由于多变量拉希混合模型的高度灵活性,机器学习已应用于这一数据建模方法。BIC和CML分别用来确定模型隐藏的类别及其参数的数量,以获得测量差异。项目对隐藏属性的敏感度在群体之间不尽相同,因此引入了检测方法。根据Verbal Agresion数据集进行了模拟,选择了适当的模型并估算了参数。由于多变量拉希混合模型的混合模型的高度灵活性,因此对数据模型应用了这种数据建模方法。BICIC和CML分别用来确定模型的隐藏类型及其参数,以获得测量模型,从而在软件工程学中找到一种深思索的解决方案。最后,通过软件的软件的模型,为客户提供了一种研究的学习方法,为重新研究的学习提供了一种方法的学习方法的学习方法的学习的学习的学习。