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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Description
In the article the current version and some prospects of development of Universal cognitive analytical Eidos system - one of the oldest really working domestic universal systems of an artificial intellect widely applied and developing nowadays is shortly described
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Description
In the article application of systemic-cognitive analysis, its mathematical model - the system theory of the information and program toolkit - systems "Eidoses" for synthesis of the generalized images of classes, their abstraction, classification of the generalized images (clusters and constructs) comparisons of concrete images with the generalized images (identification) are examined
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Description
The article proves and develops the idea, the imple-mentation of which would significantly reduce the effort required to develop the educational-methodical complexes, simplify their signing and approval of the various officials and increase their quality, make the work of the developers of CBM more creative, releas-ing it from technical and routine moments
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Description
Techniques of value analysis and "Direct-costing" are well-known and popular. The ideas and principles of value analysis and the method of "Direct costing" are very similar, if not identical. On the one hand, these ideas are very reasonable, well grounded theoretically and proved its effectiveness in practice. On the other hand, the wide use of these methods is hampered by the difficulty of obtaining large amounts of detailed technological and financial-economic information, as well as the need for careful research by competent professionals, well-versed in substantive subject area. This is the contradiction between the desire to apply the methods of the value analysis and "Direct costing" and difficulty to perform it in practice. This contradiction constitutes a real problem and may often be discouraging and frustrating. In this work, we propose a simple and effective solution to this problem, theoretically well-informed with all the necessary methodological and software tools and widely and successfully tested in practice. The proposed solution is based on two simple ideas: 1) instead of collecting and holding a meaningful large amount of technological and financial-economic information we might apply approaches, pleasant management theory; 2) to create systems for automated control of natural and financial-economic efficiency of expenses we might use the automated system-cognitive analysis and its software tool – an intellectual system called "Eidos". In the name of the specialty 08.00.05 – Economics and national economy management, there are such words: "management of enterprises, branches, complexes, innovation." The use of the term "Management" implies that there is a model that reflects the influence of factors on the object of control, and there is the management system making decisions based on this model. However, as a rule, the dissertations in this field have nothing of this, except only financial and economic calculations. The article proposes an approach based on the control theory, removing this disadvantage
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Description
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AUTOMATIC TECHNOLOGIES OF KNOWLEDGE MANAGEMENT IN AGRO INDUSTRIAL HOLDING
Description
In the article the main problem of management of agro industrial holding is generated and approaches to its decision are briefly reviewed on a basis of "management of knowledge", also a parity of data, information and knowledge, procedure of revealing of knowledge from data, a way of use of knowledge for forecasting and decision-making, stages of life cycle of the intellectual appendix and the basic results of application of the modern automated technology of management of knowledge - the Systemic cognitive analysis for management of agro industrial holding are examined
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AUTOMATED SYSTEM-COGNITIVE ANALYSIS OF ANTIBIOTICS IN VETERINARY MEDICINE
06.02.00 Veterinary and Husbandry
Description
Antibacterial chemotherapeutic drugs, which include antibiotics and synthetic antimicrobial agents, are widely used in veterinary medicine for the prevention and treatment of diseases caused by microorganisms. Antibacterial agents can be classified by type of action and chemical structure. It is also known that when several drugs are used in combination with each other, they interact within the body with each other, which can lead to strengthening or weakening of their action. For these reasons, it is of scientific and practical interest to develop a classification of antibiotics by their characteristics and principle of action (task 1), as well as by mutual compatibility (task 2). The article solves these problems using a new method of agglomerative cognitive clustering, implemented in automated system-cognitive analysis (ASK-analysis). This method of clustering has a number of advantages over the known traditional methods of clustering. These advantages allow us to obtain clustering results that are understandable to specialists and amenable to meaningful interpretation, which are well consistent with the experts ' assessments, their experience and intuitive expectations, which is often a problem for classical clustering methods. The article provides detailed numerical examples of solving two problems. The universal automated system called "Eidos", which is a tool of ASK-analysis, is in full open access on the author's website: http://lc.kubagro.ru/aidos/_Aidos-X.htm. Numerical examples of solving veterinary problems with the use of artificial intelligence technologies are placed as cloud Eidos-applications and are available to everyone
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AUTOMATED SYSTEM-COGNITIVE ANALYSIS IN AGRONOMY
Description
Agronomy systems with good reason can be considered as complex multiparameter natural and technical systems. In these systems, there are numerous and diverse physical, chemical and biological processes. On the one hand, these processes have a significant impact on the performance of these systems. On the other hand, they are extremely difficult to be described in the form of meaningful analytical models based on equations. As a result, the development of meaningful analytical models is associated with a large number of simplifying assumptions that reduce the validity of these models. Usually we consider linear univariate models for agronomic systems, whereas practices are necessary for nonlinear multiparameter models. Thus, we face the problem proposed to be solved by the application of a phenomenological meaningful systemic cognitive models. These models are created using automated system-cognitive analysis (ASC-analysis) using the intellectual system called "Eidos" directly based on empirical data and used for the decision of tasks of forecasting, decision support and research of the modeled subject area. In this case, empirical data can be large, incomplete (fragmented), noisy, presented in different types of measuring scales (nominal, ordinal and numerical) and in different units of measurement. The comparability of the processing of heterogeneous data is ensured by the fact that they are all converted into units of measurement of the amount of information. A numerical example has been given
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06.02.00 Veterinary and Husbandry
Description
The article considers the application of Eidos intellectual technologies for implementation of developed veterinary and medical diagnostics statistical tests without programming in the convenient form for the individual and mass testing, the analysis of the results and development of the individual and group recommendations. It is possible to merge several tests in one supertest
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06.02.00 Veterinary and Husbandry
Description
The article is devoted to the use of automated system-cognitive analysis for the study of probiotics for the growth of bulls. Moreover, as growth indicators we have not used live weight, but indices characterizing the shape and proportions of the body of animals. A detailed numerical example of solving the problem using real data is given
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