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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Description
In this article, the problem of short-range forecasting of the trends of economical indexes of diversified corporation is stated, on the basis of application of systemic-cognitive analysis and its tooling (intellectual system "Eidos") the formal problem definition and data domain formalization, i.e. development of classification and descriptive dials and graduations and shaping of training sample is performed
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Description
In the article, the problem of a performance evaluation of activity of municipal unions in the field of guardianship and guardianship is stated and its solution, based on application of system-cognitive analysis and its tooling ("Eidos" intellectual system) is offered. The formal problem definition and data domain formalization are fulfilled, i.e. classification and descriptive dials and their graduations are elaborated, the training sample, according to 2009-2010, is generated, synthesis and verification of four cognitive models, different by private measure of knowledge, which extend and formalize modes of a decision making of experts in the previous phase are performed. Framed models are applied to the computerized performance evaluation of operation of 43 municipal unions of Krasnodar territory in the field of guardianship and guardianship for 2011 and have yielded such outcomes of an estimate, which would be gained by experts as well, under condition of immutability of their approaches
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Description
In this article, the deep relationship between the theory of automated control and system-cognitive analysis and its software tools - system of "Eidos" in their application to the intelligent control of complex systems is reviewed. Offered technology allows implementing in practice the intelligent automated and even automatic control of the objects of management, for which earlier management is realized only on weak formalized level, as a rule, without the use of mathematical models and computers. Such control objects include, for example, technical systems, the full quality-changing in the process of management, biological and ecological systems, socio-economic and psychological systems
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Description
The article, on a simple numerical example, deals with the application of the automated system-cognitive analysis (ASC-analysis) and its software tools - intellectual systems "Eidos" for the detection and investigation of determination of emergent macro preferences of systems in their composition and hierarchical structure, i.e. the sub-systems of various complexity levels (levels of the hierarchy). The article briefly discusses some of the methodological issues of creation and application of formal models in scientific knowledge. The system generalization of the principle of William Ross Ashby about the necessary diversity on the basis of the system of generalization of the theory of sets and systems theory, information, generalized formulation of the principle of Galileo-Einstein, the hypothesis about its relationship with the theorem of Emmy Noether are offered; and also there is a hypothesis "About the dependence of the force and direction of the relations between the basic elements of the system and its emergent properties as a whole, on the level of hierarchy in the system"
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Description
The problem of forming of innovate elements of intelligence service of corporate management is dis-cussed on terms of knowledge economics. New trends and conditions of corporation’s development as reflection of economics trends are picked out. The system of measures pointed at stimulation of producing of future intelligence foundation and me-chanisms of such producing are suggested
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Description
The article defines the problem and the points of socio-economic systems in the agro-industrial complex (APC) and proposes using automated system-cognitive analysis (ASCA). The solution to this problem is shown as an example of an integrated multi-industrial agricultural system (IMPI APC). Theoretical basis, mathematical model, technique of numerical calculations and software tools of ASC-analysis, and the main results and prospects of its application to control the
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01.00.00 Physical-mathematical sciences
DescriptionIn the article, a text is considered as a system, which includes both verbal and nonverbal subsystems of different levels of hierarchy. System generalization of the classical Shannon measure of information in text and a quantitative measure of the level of systematic text, called the "coefficient of emergence of Shannon", which is based on it, is proposed. This article shows mathematical relationship between the obtained coefficients of emergence of Hartley in 2002 and Shannon's proposed rate of emergence. It is shown that every object of cognition can be associated with a text reflecting its composition and structure. The process of learning from this perspective is seen as a process of constructing a text object models of learning and research process of these models. The definition of procedures for encryption and decryption, as well as quantitative measures of their effectiveness based on quantitative measures systematic texts is given. From this standpoint, the relationship of encryption and decryption with zipping and unzipping is shown. We propose a computer program for the numerical measurement of systemic and specific texts of the simulated systems and present some numerical examples in this article
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UNIVERSAL COGNITIVE ANALYSIS SYSTEM "EIDOS-X+ +"
DescriptionThe "Eidos" system is working well for many years of use for researches in various subject areas and activities for a number of scientific disciplines related to artificial intelligence, knowledge representation and knowledge management. However, during the operation of the system, some of the shortcomings that limit the opportunities and prospects for the application of the system have been identified. Therefore, the radically new version of the system (the system Eidos X + +) was created, which overcome the limitations and drawbacks of previous version and includes new important ideas for its development and use as a software tool in system-cognitive analysis (SC analysis)
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INTELLECTUAL MODELS OF INVESTMENT MANAGEMENT OF AGRO-INDUSTRIAL COMPLEX
DescriptionThis article describes the system-cognitive approach to an investment management of agribusiness at the regional level in order to improve the quality of life. The possibility of the practical application of the proposed quantitative integral criterion of the quality of life for the identification year study period, and obtained influence functions volume and direction of investment in the value of the integral criterion and partial criteria of quality of life in the region is presented. The results open the possibility of scientific study recommendations on the structure and terms of investments, the most effective impact on improving the quality of life of the region
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INVESTMENT AND RESOURCE MANAGEMENT OF AGRICULTURAL PRODUCTION
DescriptionIn the article, we proposed the fundamental mathematical support of the state investment management of the agricultural production at the regional level, the content of which is determined by the next run of the development: the structure of the investment mechanism of farm management, hierarchy and relationship models and stages of the investment management of agricultural production; models preliminary comparative evaluation of agricultural enterprises - participants of the investment process, models and algorithms investment and resource optimization of the industrial structure of agricultural enterprises; models final selection of participants implementation of public investment programs and the distribution of funds