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: 276
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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08.00.13 Mathematical and instrumental methods of Economics
DescriptionTraditionally, control decisions are made by solving repeatedly the forecasting problem for different values of control factors and choosing a combination of them that ensures the transfer of the control object to the target state. However, real control objects are affected by hundreds or thousands of control factors, each of which can have dozens of values. A complete search of all possible combinations of values of control factors leads to the need to solve the problem of forecasting tens or hundreds of thousands or even millions of times to make a single decision, and this is completely unacceptable in practice. Therefore, we need a decision-making method that does not require significant computing resources. Thus, there is a contradiction between the actual and the desired, a contradiction between them, which is the problem to be solved in the work. In this work, we propose a developed algorithm for decision-making by solving the inverse forecasting problem once (automated SWOT analysis), using the results of cluster-constructive analysis of the target states of the control object and the values of factors and a single solution of the forecasting problem. This determines the relevance of the topic. The purpose of the work is to solve the problem. By decomposing the goal, we have formulated the following tasks, which are the stages of achieving the goal: cognitive-target structuring of the subject area; formalization of the subject area (development of classification and descriptive scales and gradations and formation of a training sample); synthesis, verification and increasing the reliability of the model of the control object; forecasting, decision-making and research of the control object by studying its model. The study uses the automated system-cognitive analysis and its software tools (the intelligent system called "Eidos") as a method for solving the set tasks. As a result of the work, we propose a developed decision-making algorithm, which is applicable in intelligent control systems. The main conclusion of the work is that the proposed approach has successfully solved the problem
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01.00.00 Physical-mathematical sciences
DescriptionThe article discusses the expansion of artificial intelli-gence "Aidos-Astra" for applications with the empirical data of high dimensionality. Application, written in the language JAVA, allows you to prepare and visualize the information content of the matrix without re-strictions imposed by the architecture of the system "Aidos-Astra "
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Description
Programming idea of systemic generalization of mathematics, essence of which consists of total change of meaning “set” on more common meaning “system” and tracing of all consequences of it is formulated and generalized in the article. Observance of adequacy principle, which is mandatory for more common theory is provided under it, because a system with zero level of systemic character is set. Expanded example of realization of this programming idea as a systemic information theory, which is systemic generalization of information theory of Nikewest-Boltzman-Hartley-Shannon and semantic information theory of Kharkevich , which was offered by the author, is brought.
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Description
In the article we have offered the technology and the methodology for the formulation and the solution of the problem of forecasting scenarios of changes in yield sunflower seeds at the level of a region and its districts, on the basis of the system-cognitive model that is different from the traditional: a high degree of formalization of the model of knowledge; the possibil-ity of the synthesis matrix transfer function of the object of forecasting directly on the basis of empirical data; correct work with incomplete (fragmented) and noisy data. For the first time, the study of the system-cognitive model of artificial ecosystems of sunflower in the Krasnodar Region, which is correctly regarded as the study of the ecosystem, as the verification of this model has shown its high adequacy has been conduct-ed
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Description
In this article, for the first time, the synthesis and veri-fication of the system-cognitive model of artificial ecosystems of sunflower crops in the Krasnodar region (at the levels of regions and in the whole region) are carried out. On the basis of the developed models, there are solved tasks: 1. Forecasting scenario of sun-flower yield for the period from 1 to 5 years. 2. The scientific study of artificial ecosystems of sunflower crops in the Krasnodar region (at the levels of regions and in the whole region)
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Description
Prognosis of industrial results of some or other agro technologies application and support of decision taking by choice of such varieties of grains and rational agro technologies for their cultivation, which with most probability would show the given desirable industrial result in advance are cited in the article.
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PREDICTION OF SEISMIC ACTIVITY AND CLIMATE ON THE BASIS OF SEMANTIC INFORMATION MODELING
DescriptionOn the basis of semantic information models examined the dependence of parameters of seismic activity on the gravity of celestial bodies. The regional semantic information model of climate is developed
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Description
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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PROGNOSIS OF RISKS OF CAR INSURANCE KASKO WITH THE APPLICATION OF SYSTEMIC-COGNITIVE ANALYSIS
DescriptionApplication of systemic-cognitive analysis and its programming set of instruments of the system “AIDOS” for synthesis of a semantic informational model, taking into account the influence of different factors on sums of insurance payments of car insurance KASKO and use of this model for prognosis of insurance payments sums is described in the article.
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01.00.00 Physical-mathematical sciences
DescriptionSince there are many artificial intelligence systems, there is a need of comparable quality assessment of their mathematical models. For this purpose, these systems can be tested on the same database source data, for which it is very convenient to use a public database of the UCI repository. This work is aimed at the study and development of model practices of the database of the UCI repository to assess the quality of mathematical models of artificial intelligence systems