| Title | Intelligent Technologies for Projective Thinking and Research Management in the Knowledge Representation System |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Kharitonov, Valerij A., Krivogina, Darya N., Salamatina, Anna S., Guselnikova, Elina D., Spirina, Varvara S., Markvirer, Vladlena D. |
| Conference Name | 2022 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS) |
| Date Published | sep |
| Keywords | composability, convergence, Data Model, database management system, Economics, Grammar, heuristic methods, Human Behavior, Inference algorithms, intelligent technology, knowledge representation, knowledge representation systems, Metrics, projective thinking and management, pubcrawl, relational database security, relational databases, reliability, resilience, Resiliency, search problems, subject area models |
| Abstract | It is proposed to address existing methodological issues in the educational process with the development of intellectual technologies and knowledge representation systems to improve the efficiency of higher education institutions. For this purpose, the structure of relational database is proposed, it will store the information about defended dissertations in the form of a set of attributes (heuristics), representing the mandatory qualification attributes of theses. An inference algorithm is proposed to process the information. This algorithm represents an artificial intelligence, its work is aimed at generating queries based on the applicant preferences. The result of the algorithm's work will be a set of choices, presented in ranked order. Given technologies will allow applicants to quickly become familiar with known scientific results and serve as a starting point for new research. The demand for co-researcher practice in solving the problem of updating the projective thinking methodology and managing the scientific research process has been justified. This article pays attention to the existing parallels between the concepts of technical and human sciences in the framework of their convergence. The concepts of being (economic good and economic utility) and the concepts of consciousness (humanitarian economic good and humanitarian economic utility) are used to form projective thinking. They form direct and inverse correspondences of technology and humanitarian practice in the techno-humanitarian mathematical space. It is proposed to place processed information from the language of context-free formal grammar dissertation abstracts in this space. The principle of data manipulation based on formal languages with context-free grammar allows to create new structures of subject areas in terms of applicants' preferences.It is believed that the success of applicants' work depends directly on the cognitive training of applicants, which needs to be practiced psychologically. This practice is based on deepening the objectivity and adequacy qualities of obtaining information on the basis of heuristic methods. It requires increased attention and development of intelligence. The paper studies the use of heuristic methods by applicants to find new research directions leads to several promising results. These results can be perceived as potential options in future research. This contributes to an increase in the level of retention of higher education professionals. |
| DOI | 10.1109/ITQMIS56172.2022.9976719 |
| Citation Key | kharitonov_intelligent_2022 |
Intelligent Technologies for Projective Thinking and Research Management in the Knowledge Representation System