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
This article gives examples of raising and solving the problems of forecasting and decision-making (management) support for agro-industrial holding on its two-level semantic information model basis
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Description
Application of systemic-cognitive analysis and its programming set of instruments of a system “AIDOS” for synthesis and marketing research of semantic informational model of publicity service market (advertisers of modern glossy magazines) of Krasnodar and Krasnodar krai are described in this article.
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Description
It has been proved that theoretical scientific models created as a result of the learning process, reflect not the reality of "what it really is" and only the reality "what it is" in the process of interaction with tools of empirical knowledge, i.e. the organs of perception of a certain organism that supports a corresponding form of consciousness, experimental instruments and information-measuring systems of a certain functional level. Examples and consequences of the major mistakes that have been historically made by scientists for the substantial interpretation of theoretical scientific models: this error is unwarranted giving the model the ontological status ("hypostatizations") and its associated error model giving the status of universality. The history of the emergence and development of science was viewed as a process of sequential application of natural scientific method to the study of objects of knowledge, previously studied in the framework of philosophy. We have formulated a promising idea of solving problems of philosophy of natural science methods. In the framework of implementation of this idea, we have proposed a natural-scientific formulation and solution of the basic question of philosophy. This new scientific concept of "Relatively objective and Relatively subjective" and discusses the relationship of the content of these concepts from forms of consciousness. The article gives a natural-scientific definition of consciousness and offers periodic multi-criteria classification of forms of consciousness, including 49 forms of consciousness: the 7 types of 7 consciousness and cognition methods. It examines the dialectics of the changing ideological paradigms from antiquity to the present day and a place of scientific paradigms in the process. It also describes the law of denial-denial in the change of ideological paradigms and on the basis; it explores the hypothesis about the main features of the future ideological paradigm, formed in the present. We have formulated the correct principles of interpreting scientific models of natural-scientific method – scientific method of induction and the principles of open consciousness, i.e. the principles, opening the way for the formation of new, improved and more adequate models of reality than the existing ones which were considered the only true models
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08.00.13 Mathematical and instrumental methods of Economics
Description
In their previous works, the authors solved the problem of cognitive structuring and formalization of the subject area, as well as the synthesis and verification of system-cognitive models. This work is devoted to the problem of forecasting the impact of the nomenclature and sales volumes on the profit and profitability of a trading company
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Description
In the article we examine the application of the systemic cognitive analysis and the system theory of the information (STI) for the decision of a known problem of mathematical logic and the mathematical linguistics which have received the name "Problem of a referential class". There is a hypothesis that the given problem is a problem of these scientific directions and is naturally overcome in the theory and practice of systems of an artificial intellect, in particular in systemic cognitive analysis and its mathematical model of the system theory of the information.
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Description
In the author's interpretation we consider concepts and methods of science, such as science, knowledge, model, gnosticism and agnosticism, the principle of Ashby, facts, empirical regularity, empirical law, scientific law, and others. We have formulated the main problem of the science, concluding that cognitive abilities of a human are limited and do not provide effective knowledge in a very large volume of data. The solution to this problem is to look at ways of automation of scientific research. Traditionally, we use information-measuring systems and automated systems research (ASNI) for this. However, the mathematical methods used in these systems, impose strict impracticable requirements to the source data, which dramatically reduces the effectiveness and applicability of these systems in practice. Instead of having to submit to the source data impracticable requirements (like the normality of the distribution, absolute accuracy and complete replications of all combinations of values of factors and their full independence and additivity) automated system-cognitive analysis (ASC-analysis) offers (without any pre-processing) to understand the data and thereby convert them into information and then convert this information to knowledge by its application to achieve targets (i.e. for controlling) and for solution for problems of classification, decision support and meaningful empirical research of the modeled subject area. ASC-analysis is a systematic analysis, considered as a method of scientific cognition. This is a highly automated method of scientific knowledge that has its own developed and constantly improving software tool – an intellectual system called "Eidos". The system of "Eidos" has been developed in a generic setting, independent of any domain and can be applied in all subject areas, in which people apply their natural intelligence. The "Eidos" system is a tool of cognition, which greatly increases the possibility of natural intelligence, just like microscopes and telescopes multiply the possibilities of vision (but in this case only if you have this possibility). The study proposes a new view of the models: phenomenological meaningful model, which is currently represented only by systemic cognitive models, and which is currently in the middle between empirical and theoretical knowledge. The system called "Eidos" is considered as a tool of automation of the learning process, providing meaningful synthesis of phenomenological models directly on the basis of empirical data
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Description
In this article application of a new method of an artificial intellect is examined: systemic-cognitive analysis and its toolkit - "Eidos" system are used for an estimation of level of nonspecific resistance of an organism of patient on the basis of the preoperative information about it received by a method of cardio respiratory synchronism (CRS) and forecasting of duration of the postoperative rehabilitation period on this basis. In the 1st part of the given article it is considered: entering in a problem, the generalized structure of "Eidos" system, cognitive structurization of a data domain, data domain formalization, preparation of training sample, semantic information model synthesis, a raise of performance and verification (reliability estimation) of the given model
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Description
In this article application of a new method of an artificial intellect is examined: systemic-cognitive analysis and its toolkit - "Eidos" system are used for an estimation of level of nonspecific resistance of an organism of patient on the basis of the preoperative information about it received by a method of cardio respiratory synchronism (CRS) and forecasting of duration of the postoperative rehabilitation period on this basis. In the 2nd part of the article it is considered: forecasting and decision support of problem solving, including shaping and an output of informational portraits of classes, worth of factors and their value for forecasting and decision making problem solving, outputs are made, outlooks are planned, hypotheses are stated
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01.00.00 Physical-mathematical sciences
Description
On the basis of local semantic information of the models of California the dependence of parameters seismic activity on the position of the space objects has been investigated and the model of short-term earthquake prediction has been created. The formal criteria of astronomical parameters of high informative value in the preparation and implementation of earthquakes have been established. On the example of semantic models, we have developed criteria for seismic hazard zones for individual study of the region of California 2x2 degrees of longitude and latitude with regard to the intended depth of the hypo-center and magnitude of possible earthquakes
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EARTHQUAKE FORECAST ON ASTRONOMICAL DATA USING THE ARTIFICIAL INTELLIGENCE SYSTEM
Description
The earthquake forecast model based on the astronomical data using the artificial intelligence system is developed
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