
name
Lutsenko Yevgeniy Veniaminovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
• Kuban State Agrarian University
кафедра компьютерных технологий и систем
профессор
Research interests
Системно-когнитивный анализ, системы искусственного интеллекта, высшие формы сознания, перспективы человека, технологии и общества
Web site url
Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 271
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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22.00.00 Sociological sciences
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In the article a technique of a writing of articles in the Scientific magazine of KubSAU is considered, including the substantial description of internal logic and structure of article reflecting it, and also rules of registration of various objects in it, such as subtitles, drawings, tables, formulas, links to references and others. Article is recommended for beginning authors.
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19.00.00 Psychological sciences
Description
The meaning of active object of management is considered in the article, principles of construction of reflexive automated systems of management with such objects are stated, the technology of instruments of systemic-cognitive analysis, providing the synthesis and research of multilevel semantic information models of active objects and use of these models for prognosis of active objects development and support of taking decisions on their management are described as well.
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The results of application of systemic-cognitive analysis for prognosis of risks of traffic accidents and sums of insurance payments in the system of compulsory auto insurance are described in the article.
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Results of application of systemic-cognitive analysis to prognosis the influence of the car sell transactions on new economic indexes of the auto center and decision taking support on deliveries.
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19.00.00 Psychological sciences
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Structural-intensional transformations of I-images of Home Ministry staff under influence of extreme conditions are considered in the article. Problems of analysis of different data by means of self-descriptiveness criteria use, realized in the universal cognitive analytical system “AIDOS” were solved in the described research.