| Summary: | <p>The article discusses a potential use of the methods of cognitive modeling in the field of quality of life. The quality of life, as a universal indicator of human self-perception to feel his sense of satisfaction from various parts of his life, is difficult to assess by strictly mathematical methods, so the authors suggest using the cognitive modeling. The quality of life in his estimation for the convenience of research activity is divided into components - indicators of the quality of life. The widespread indicator "quality of life" and the complexity of the development of its assessment methods lead to high relevance of the authors-proposed method.</p><p>The introduction provides an overview of current approaches to assessing the quality of life. Among all these approaches the most advantageous is an objectively subjective one. The paper gives a brief assessment of cognitive modeling methods, which are, essentially, a way of graphic and structural elements of reflection and relationships in complex systems. As a result of the analysis of existing research in this area, was found the potential for creating cognitive models of the quality of life and its indicators and was defined the place of the proposed method, among others. The paper presents the method itself, as a series of steps, and focuses on the promising opportunities for researchers of the quality of life from its using.</p><p>Among the possible lines to use cognitive modeling of the life quality indicators can be three main ones: implementation of new methods to assess the quality of life; choice of the most appropriate technique for a particular study among available methods; realization of the cognitive model and numerical experiment, which allows seeing the effect of external factors on the individual indicators of the quality of life. Thus, due to the high relevance and significant benefits from the use of the proposed method, the article is of interest to researchers of the quality of life and its related indicators.</p><p>The work is partly supported by The Russian Foundation for Basic Research: Grant No14- 07-00116, №16-07-00474.</p>
|
|---|
