Measuring Cognitive Potential in People while Performing Tasks with Varying Complexity

A. Petukhov, A. Polevaia, S. Polevaya
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Abstract

The purpose of the presented study is to assess the cognitive potential of a person based on the experimental data obtained in order to identify the cognitive capabilities of a person and its dynamics, e.g., to monitor recovery after a disease. To assess cognitive potential, two algorithms have been developed, one for assessing the level of cognitive complexity of a task, and the other for assessing the level of cognitive potential in a person. A complex of experimental methods has been applied using specially developed authorial methods; to assess the cognitive potential in an individual, mathematical methods for data processing and calculation of the introduced specific parameters were used. Specific methods are proposed using author's mathematical formulas for assessing the cognitive potential of a person based on experimental data and tasks of varying cognitive complexity as stimuli. Within the framework of this study, the methodology for assessing the value of cognitive potential in people based on the information representations (images) theory was created. To assess cognitive skills, including the so-called soft skills, a special online solution with the set of tools has been developed. The obtained parameters allow us to study the effect of social, genetic, and pathogenetic factors on cognitive potential. A theoretical approach and a technological platform for digital mapping of cognitive potential are proposed.
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测量人们在执行不同复杂任务时的认知潜能
本研究的目的是根据获得的实验数据评估一个人的认知潜力,以便确定一个人的认知能力及其动态,例如监测疾病后的恢复情况。为了评估认知潜力,已经开发了两种算法,一种用于评估任务的认知复杂性水平,另一种用于评估人的认知潜力水平。使用专门开发的作者方法应用了复杂的实验方法;为了评估个体的认知潜能,使用数学方法进行数据处理和计算引入的具体参数。基于实验数据和不同认知复杂性的任务作为刺激,提出了使用作者的数学公式来评估人的认知潜力的具体方法。在本研究的框架内,建立了基于信息表征(图像)理论的人的认知潜能价值评估方法。为了评估认知技能,包括所谓的软技能,一套特殊的在线解决方案已经开发出来。获得的参数使我们能够研究社会、遗传和致病因素对认知潜能的影响。提出了一种认知电位数字映射的理论方法和技术平台。
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