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In any training (training) sample (source data) there is always not only true information about the simulated subject area, but also misinformation, and just noise. It is clear that noise and misinformation in the source data lead to a decrease in the reliability of models created on the basis of these source data. Therefore, it is necessary to have criteria to distinguish noise from disinformation and from true information, as well as mathematical and software tools based on these criteria for detecting and suppressing noise in the source data, as well as for detecting disinformation in the source data and restoring true information by analyzing disinformation. Artifacts will be called objects of the training sample, in which and /or features are random, and /or classes are random, and /or the relationship of the features of these objects with the belonging of these objects to classes is also random. This is the noise in the source data. We will call the objects of the training sample atypical, in which both the signs and classes are not random, and the relationship of the signs (of these objects) with the belonging (of these objects) to the classes indicated in the training sample is also not random, but quite natural, but not the one indicated in the training sample, but the other, i.e.e. the class membership of objects is incorrectly indicated in the training sample. This is the misinformation in the source data. Atypical objects can actually belong both to those classes that are specified in the training sample, and to new classes that are not there. The main criterion for distinguishing noise and misinformation from true information is the level of similarity of the object with the classes to which it belongs according to the training sample. With an increase in the level of similarity, the proportion of true solutions among all solutions is naturally calculated. A low level of similarity and, especially, false-negative solutions when solving the identification problem are signs of noise and misinformation in the description of the objects of the training sample. It is possible to distinguish noise and disinformation from each other by the following criterion: if the hypothesis that an object is atypical is not confirmed when iteratively assigning it to new classes specially created for this purpose, i.e. this process "loops" (leads to a repetition of the situation) without increasing the reliability of models, the description of this object does not contain patterns and is noise, i.e. it is an artifact. Such objects should simply be removed from the training sample. But if atypical objects are removed along with artifacts, this will lead to a decrease in the amount of information in the model, its impoverishment (which is called: "pour the baby out of the bath along with the water"). Therefore, in the automated system-cognitive analysis (ASK-analysis) and its software tools, the intelligent system "Eidos" implements both mechanisms based on the two criteria given, allowing first to divide classes into typical and atypical parts with the creation of new classes for atypical objects, i.e. recover true information by analyzing misinformation, and then effectively suppress noise in the source data. The paper provides detailed numerical examples demonstrating these approaches on model source data.

The article reveals a simple mathematical relationship of the Karl Pearson square measure with the return on investment (ROI) coefficient and with the semantic measure of the expediency of Alexander Harkevich's information. This relationship is found if, based on the matrix of absolute frequencies, we calculate the matrices of conditional and unconditional percentage distributions, and then compare the actual absolute frequencies with the theoretical ones by subtraction and division, as well as compare conditional and unconditional relative frequencies also by subtraction and division and normalize to zero by taking the logarithm or subtracting 1. In this case, 3 statistical models are obtained: a matrix of absolute frequencies and two matrices of relative frequencies, i.e. conditional and unconditional percentage distributions, as well as a total of 7 system-cognitive models. It is 7, and not a larger number of system-cognitive models that are eventually obtained because the models obtained by comparing actual and theoretical absolute frequencies by dividing and normalizing to zero by taking a logarithm or subtracting 1 identically coincide with the models obtained by comparing conditional and unconditional relative frequencies by dividing and normalizing to zero by taking the logarithm or subtracting 1. This is the configurator of statistical and cognitive models in the sense of V.A.Lefevre, containing the minimum number of models that allow a complete description of the simulated subject area. It is significant that Karl Pearson's χ-square measure model from statistics turned out to be mathematically closely related to the return on investment (ROI) coefficient used in economics in the theory of investment portfolio management and with Alexander Harkevich's measure of information from semantic information theory and knowledge management theory. All these models are calculated in the intelligent system "Eidos".

This work is a continuation of the author's series of works on the use of Automated system-cognitive analysis (ASC-analysis) to solve a wide range of problems in the field of agronomy, i.e. cognitive agronomy. The paper solves the problem of identifying the dependence of agro-physical indicators of the soil on its processing, fertilizers and the phase of wheat vegetation. Based on the knowledge of these dependencies, the tasks of forecasting, decision-making and research of the simulated subject area are solved by studying its system-cognitive model. The specificity of this task is that all independent variables (factors)are linguistic (categorical) variables. Therefore, linguistic ASC-analysis, i.e. cognitive mathematical linguistics, is used to solve this problem. At the same time, dependent variables, i.e. the results of the influence of factors, are measured in numerical scales. Thus, a hybrid model is being built in the work, including both nominal (text) and numerical scales. Comparability of data processing of different types presented in different types of scales and different units of measurement is ensured by metrization of nominal scales, i.e. increasing their degree of formalization to the level of numerical scales. This is achieved by calculating the amount of information contained in the gradations of nominal scales and obtaining a particular yield. A brief description of the ASC-analysis and its software tools - the intelligent system "Eidos" is given. The work can be the basis for laboratory work on the use of artificial intelligence systems, in particular linguistic ASC-analysis for solving problems in the field of cognitive agronomy.

This work is a continuation of the author's series of works on the use of artificial intelligence systems for research in the field of number theory (higher arithmetic) and statistics. The paper solves the problem of studying the dependence of the level of consistency of natural numbers, as systems of prime factors, on the magnitude of the number, its prime factors, the logarithm of the number, the recursive sum of its digits and which digits are located in different positions of the number entry. To quantify the level of consistency of natural numbers, the emergence coefficient is used, proposed by the author in 2002 and named by him in honor of one of the founders of the scientific theory of information, R. Hartley. Automated system-cognitive analysis (ASC-analysis) and its software tools – the intelligent system "Eidos" are used to build and analyze models and their analysis. A brief description of the ASC- analysis and the "Eidos" system is given. A detailed numerical example is given, which demonstrates the application of ASC-analysis to solve a number of problems. Task-1. Cognitive structuring of the subject area. Task-2. Formalization of the subject area. Task-3. Synthesis of statistical and system-cognitive models. Multiparametric typing and particular criteria of knowledge. Task-4. Verification of models. Task-5. Choosing the most reliable model. Task-6. System identification and forecasting. Integral criteria. Task-7. Decision support. Task-8. The study of a modeling object by examining its model. The work can be the basis for laboratory work on the application of intelligent technologies in higher arithmetic (number theory).

The article discusses the application of automated system-cognitive analysis (ASC-analysis), its mathematical model is a system of information theory and implements, its software tools – intellectual system called "Eidos" for solving one of the important tasks of ampelography: to quantify the similarities and differences of different clones of grapes using contours of the leaves. To solve this task we perform the following steps: 1) digitization of scanned images of the leaves and creation of their mathematical models; 2) formation of mathematical models of specific leaves with the application of information theory; 3) modeling the generalized images of leaves of different clones on the basis of specific leaves (multiparameter typing); 4) verification of the model by identifying specific leaf images with generic clones, ie, classes (system identification); 5) quantification of the similarities and differences of the clones, ie cluster-constructive analysis of generalized images of leaves of various clones. The specific shape of the contour of the leaf is regarded as noise information on the clone to which it relates, including information about the true shape of a leaf of this clone (clean signal) and noise, which distorts the real shape, due to the random influence of the environment. Software tools of ASA-analysis which is intellectual "Eidos" system provides the noise suppression and the detection of a signal about the true shape of a leaf of each clone on the basis of a number of noisy concrete examples of the leaves of this clone. This creates a single image of the shape of the leaf of each clone, independent of their specific implementations, ie

Is it possible to automate the study of the properties of numbers and their relationship so that the results of this study can be formulated in the form of statements, indicating the specific quantity of information stored in them? To answer this question it is offered to apply the same method that is widely tested and proved in studies of real objects and their relations in various fields to study the properties of numbers in the theory of numbers namely - the automated system-cognitive analysis (ASC-analysis), based on information theory

In previous works, the authors solved the problem of cognitive structuring and formalization of the subject area, synthesis and verification of system-cognitive models, predicting the impact of nomenclature and sales volumes on the profit and profitability of the trading company, decision support for the selection of such nomenclature and sales volumes, which cause a given target profit and profitability of the company. This work is dedicated to the study of the simulated subject area by studying its SC-model

This collection of articles presents materials prepared by the participants of the
International Scientific and Practical Conference “Transformation of the Socio-
Economic Space of Russia and the World”, held in Sochi, September 29 - October 2,
2021. For scientists, specialists in the field of economics and law, students of
economic and social specialties, anyone interested in the problems of economics, law
and economic policy.

A concept is proposed for creating an automated system that ensures the identification and study of factors affecting the success of growing crops, predicting the quantitative and qualitative results of their cultivation and developing recommendations for zoning and agricultural technology. The functions of the system are implemented based on the accumulation and analysis of hundreds of thousands of daily records of meteorological data and biological characteristics of cultivated plants, tied to spatiotemporal coordinates.

In the article the technology and some results of application of systemic-cognitive analysis for revealing of knowledge of consequences of errors in configuration of safety systems under report of Microsoft Baseline Security Analyzer (MBSA) and uses of this knowledge for forecasting of consequences are described

Application of classical forecasting methods applied to a diversified corporation faces some certain difficulties, due to its economic nature. Unlike other businesses, diversified corporations are characterized by multidimensional arrays of data with a high degree of distortion and fragmentation of the information due to the cumulative effect of the incompleteness and distortion of accounting information from its enterprises. Under these conditions, the applied methods and tools must have high resolution and to work effectively with large databases with incomplete information, to ensure correct common comparable quantitative processing of the heterogeneous nature of the factors measured in different units. It is therefore necessary to select or develop some methods that can work with poorly formalized complex tasks. This fact substantiates the relevance of the problem of developing models, methods and tools for solving the problem of forecasting the development of diversified corporations. This article compares methods of forecasting and encourages using the ask analysis which has a good theoretical justification for the meaningful interpretation of a knowledge model based on information theory; high accuracy and independence of calculation results of the unit of measurement baseline data through the use of not the correlation matrix, as in statistical systems, and matri-ces of knowledge. A well-developed and available Toolkit of the ASK-analysis which is an intellectual system called "Eidos" (created by EV Lutsenko, 1994) allows, on the basis of fragmented, noisy source data of various nature (numeric, text) to create models of large dimension. The ASK-analysis and the system of "Eidos" have been widely and successfully used in economics, engineering, agriculture, sociology and other fields. These features of the ASK-analysis have led to the fact that it was chosen as the method of forecasting of dynamics of indicators of the corporation

From a huge number of the organisms inhabiting our planet, insects make 70%, being the most numerous of the invertebrate animal classes numbering more than 2 million types. It is difficult to find such a place where it would be impossible to meet representatives of this huge class. They completely took over the entire environment - water, the land, air. For them, it is the common characteristic: complex instincts, omnivorous, high fecundity, and for some of them – a public way of life. Insects can be found at tremendous heights, reaching the level of 5000 meters, and they inhabit the desert where it practically never rains, not to mention the absence of any vegetation. Deep caves where no sunlight, nor the conditions for food and existence of living organisms - it is also the habitat of insects, they can be found far beyond the Arctic circle, and even on many Islands of Antarctica, where in addition to life-less rock, it would seem that there is nothing else. Among insects, one of the largest and most numerous families are the ground beetles (Carabidae). They subtly respond to changes in soil and vegetation, hydro-thermal and micro-climatic conditions of the environment, which makes them a convenient model subject to various environmental and Zoological researches. Ground beetles belong to a large number of genera and species, often difficult to see, in this regard, we use many different signs to diagnose. We have taken into consideration the coloration, body shape, external structure, surface structure, size, and arrangement of the genitals and chaetotaxy. Due to the fact that the number of ground beetles is enormous, and, using their appearance, it is very difficult to determine their generic identity, there is a need of automation of the identification process, due to which we require a special mechanism that would increase the accuracy of these insects. In the previous work of the authors (http://ej.kubagro.ru/2016/05/pdf/01.pdf) we considered the further possibility of using the method of ASC-analysis to classify insects, not only in species but also in genera, orders, thereby increasing the reliability of determination of ground beetles, which will be done in this article. A numerical example is given. We also have gained a successful experience of solving such problems in other subject areas.

On the one hand, man is a physical object and a person. Therefore, we interact with the reality, on one hand, directly as a physical object, but on the other hand as a person, ie indirectly through our psyche. On the basis of information from the senses, the consciousness of a person creates a subjective model of reality. A man mistakes his subjective model of reality for reality itself, ie unnecessarily assigns an ontological status, by the hypostatizations. In fact, as the reality a man perceives not reality itself, but only its subjective model of that reality. As a result, as a physical object, a person lives in the physical world, and as a person he lives in his subjective model of physical and social reality created on the basis of information coming to his senses directly and from the media. This work considers the process of for-mation of subjective 3D models reality based of large numbers of 2D images, a distinction is made in the content of terms: "Seeing" and "Sensing"; it also analyzes the transformation of objective facts into subjective perceptions of consciousness and back. As a result of hypostatizations of subjective models of reality, we may observe the same effects as in virtual reality (a reality effect; the effect of the presence; the effect of depersonalization; the effect of virtualization goals, values, and motivations). So, there is every reason to consider different subjective models of reality generated by different forms of consciousness, the virtual models. We study various consequences of these statements a distinction is made in the content of terms: "Seeing" and "Sensing"; it also analyzes the transformation of objective facts into subjective perceptions of consciousness and back. As a result of hypostatizations of subjective models of reality, we may observe the same effects as in virtual reality (a reality effect; the effect of the presence; the effect of depersonalization; the effect of virtualization goals, values, and motivations). So, there is every reason to consider different subjective models of reality generated by different forms of consciousness, the virtual models. We study various consequences of these statements a distinction is made in the content of terms: "Seeing" and "Sensing"; it also analyzes the transformation of objective facts into subjective perceptions of consciousness and back. As a result of hypostatizations of subjective models of reality, we may observe the same effects as in virtual reality (a reality effect; the effect of the presence; the effect of depersonalization; the effect of virtualization goals, values, and motivations). So, there is every reason to consider different subjective models of reality generated by different forms of consciousness, the virtual models. We study various consequences of these statements As a result of hypostatizations of subjective models of reality, we may observe the same effects as in virtual reality (a reality effect; the effect of the presence; the effect of depersonalization; the effect of virtualization goals, values, and motivations). So, there is every reason to consider different subjective models of reality generated by different forms of consciousness, the virtual models. We study various consequences of these statements As a result of hypostatizations of subjective models of reality, we may observe the same effects as in virtual reality (a reality effect; the effect of the presence; the effect of depersonalization; the effect of virtualization goals, values, and motivations). So, there is every reason to consider different subjective models of reality generated by different forms of consciousness, the virtual models. We study various consequences of these statements

Research of two-level semantic information model of agro-industrial holding means research of holding by itself, because verification of model showed its high adequacy.

Without science it would be impossible to form a full environmental consciousness. To increase the validity and weight of the findings on the impact of the environment on the quality of life, it is necessary to quantify the strength and direction of the influence of diverse environmental factors. However, it appears that this is quite problematic for a number of reasons. First, it is the lack or inaccessibility of source of data which is necessary for such type of research. The same data, which still can be found cover just small periods of observations (small longitudinal research data), and their completion, including performing experiments, is fundamentally impossible. As a result, it is impossible to require such full data replications, which is a necessary condition for correct applying of factor analysis. Secondly, environmental factors are described with heterogeneous indices measured in different types of measurement scales (nominal, ordinal and numerical) and in different measurement units. Mathematical methods of comparable processing of such data, and the right software tools for these methods, generally speaking, do not exist. Third, these tasks are large-scale problems, ie they are not talking about 5 or max 7 factors as it was in factor analysis, but about hundreds and thousands. Fourthly, the original data is noisy and require sustainable methods. Fifthly, environmental factors are interrelated and require nonlinear nonparametric approaches. To solve these problems it is proposed to apply a new intelligent innovative technology: automated system-cognitive analysis and its software tool – a system called "Eidos".

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.

Processes and machines of Agro-engineering 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 describe 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. However, mathematical modeling of processes and machines of Agro-engineering systems is necessary for the development of both their designs and application technologies. Thus, there is a problem that is proposed to be solved with the use of phenomenological information and cognitive models. These models are based on the theory of information and describe the simulated system purely externally as a "black box", but it is meaningful. System-cognitive models can be built directly on the basis of empirical data using the intellectual system called "Eidos". This is done by model technology and methodology and is much less time-consuming and much faster than the development of meaningful analytical models. On the other hand, phenomenological system-cognitive models can be sufficient to determine rational design features and parameters of processes and machines of Agro-engineering systems. In addition, such phenomenological models can be considered as a first step in the development of meaningful analytical models. A numerical example is given

The article describes the synthesis and verification of statistical and system-cognitive models of the influence of environmental factors on the quality of life of the population of the region. This stage of the ASC-analysis is performed in the system called "Eidos". As a result, we have created and validated (verification stage) all the specified systemic cognitive models. It is expected that reliability for the models of knowledge is sufficiently high for a given subject area, that is why we can state the discovery of a dependence of life expectancy and causes of death from environmental conditions. Typically, knowledge models are approximately 20% higher in accuracy than statistical models, which operate on the principle of positive pseudo-prediction. Making decisions based on the model of Abs (matrix of absolute frequencies) is not appropriate because of the different number of instances of classes (generalized categories) and dependence of the solutions of this amount. In the model called Prc2 (conditional and unconditional percentage distribution) the dependence of the model values of the number of examples in classes has been removed, but the accuracy of it is usually same low as in the Abs. In addition, for decision-making based on this model, one has to compare the values of conditional and unconditional probabilities manually, which is laborious and hardly possible for large dimensional models. The knowledge model called Inf3, based on a measure similar to the Chi-square, is the result of the automated comparison of values of conditional and unconditional probabilities presented in the model of Prc1, which is similar to Prc2, and usually has a fairly high accuracy, especially considering the high complexity of the subject area, which we simulated. Therefore, in accordance with the technology of the ASC-analysis data conversion into information, and afterwards - into knowledge, it is the model of Inf3 which is planned to be used for the solution of problems of identification, forecasting, decision-making and exploring the modeled subject area, through the study of its models

The quality of life of the population of the region is an important integral criterion of estimation of efficiency of activity of regional administration. The most important strategic sector of the economy of the Krasnodar region is the agro-industrial complex (AIC). This poses the problem of management of the quality of life of the region through the use of as the control factor of the volume and direction of investment in agriculture

In this article, the authors analyze forecasting and adoption of administrative decisions of a choice of agro technologies by means of application of the method of system-cognitive analysis

The article considers measuring scales as a tool for creating formal models of real objects and a tool for increasing the degree of formalization of these models to a level sufficient to implement them on computers.It also describes the different types of measuring scales, allowing to create models of varying degrees of formalization; lists the types of transformation valid during the processing of empirical data obtained with scales of different types; develops the task of metrization of the scales, ie conversion to the most formalized mind; it proposes 7 ways of metrization of all the types of scales, providing a joint comparable quantitative processing of heterogeneous factors measured in different units of measure due to the conversion of all scales to one universal unit of measurement in which the measurement number of information is selected. All of these methods of metrization have been implemented in the system-cognitive analysis and in the Eidos intellectual system

The processing complex of a region is considered as a multi-level hierarchical active reflective system, which is the object of intellectual control. The economic sta-bility of the regional processing complex is considered as one of the most important because of its characteristics, as they significantly affect the quantitative and the qualitative results of the work. The system-cognitive approach to the construction and verification of the system of intellectual models of processing of the regional complex is implemented. We have selected the most adequate model of the processing complex of the region, in which we explore the issues of management of its economic stability

In this article, the problem of short-range forecasting of value and dynamics 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

Is it possible to automate the study of the properties of numbers and their relationship so that the results of this study can be formulated in the form of statements, indicating the specific quantity of information stored in them? To answer this question it is offered to apply the same method that is widely tested and proved in studies of real objects and their relations in various fields to study the properties of numbers in the theory of numbers namely - the automated system-cognitive analysis (ASC-analysis), based on information theory

Dependence of the Earth seismic activity, magnetic field and polar motion on the sunspots number is examined on the basis of semantic information models

In the article, the problem of agribusiness industry control is stated, the purposes of control and measure of its success, and also composition of the computerised management system, including control object, controlling system, informational-measuring system and also a subsystem of rendering of corrective actions are considered. What is offered: 1) the control purpose is to consider a raise of the quality level of life of the population of the region; 2) the capacity of measure of success of control is to consider indexes of quality level of life of the population; 3) numbers and direction of investments can be used as the controlling factor; 4) synthesis and verification of model of agrarian and industrial complex can be performed directly in a cycle of control, based on application of system-cognitive analisys (SC-analisis) and its programmatic tooling - "Eidos" intellectual system; 5) forecasting of evolution of agrarian and industrial complex and production of controlling solutions can be performed on the basis of cognitive model of agrarian and industrial complex with SC-analisis and application of "Eidos" system

The rapidly developing processes in global information development of our society have had a significant impact on education. Recently, in agricultural and other universities the amount of generated and processed pedagogical information has increased dramatically. Spontaneously and purposefully, electronic databases of educational information and educational portals have been created. All these works require a significant investment of time and effort of the teaching staff (PPP) of higher education institutions and a large number of technical experts in the field of information technology; they also require appropriate computer and communications equipment. All this is already an accomplished fact. on the other hand, the question arises about the degree of meaningfulness and expediency of certain aspects of this process in the form in which it is actually carried out, and evaluation of its impact on the mission of the University in General: "Training high-quality professionals", in particular for the regional agro-industrial complex (AIC). Apparently, now this process develops spontaneously, and no one has planned it, considering on the one hand, the costs of various kinds on its implementation and on the other hand - ensuring its effectiveness in achieving the objectives and getting the intended desired results both in physical and valuable forms. The meaning and justification of this process can give only a substantial positive impact on improving the quality of education, and only when it has adequate and reasonable cost. For a reasoned response to these questions, the authors propose to apply the theory of reflexive management active objects, automated system-cognitive analysis (ASC-analysis), functional cost analysis (FCA) and the method of "Direct costing". A foundation for solving the problem: this is a great experience in teaching and research activities, a successful experience of the application of ASC-analysis and the FSA for personnel management; a software tool of ASC-analysis which is an intellectual system called "Eidos" (full open free access) this is a great experience in teaching and research activities, a successful experience of the application of ASC-analysis and the FSA for personnel management; a software tool of ASC-analysis which is an intellectual system called "Eidos" (full open free access) this is a great experience in teaching and research activities, a successful experience of the application of ASC-analysis and the FSA for personnel management; a software tool of ASC-analysis which is an intellectual system called "Eidos" (full open free access)

In the article general mathematical expression for a quantitative assessment of system (synergetic) effect, arising when integrating buleans (systems), being a generalization of sets in system generalization of the theory of varieties and independent of an expedient (algorithm) of formation of subsystems in system is offered. For this quantitative standard the name is offered: "Generalized coefficient of emergence by R.Hartli" because of likeness of its mathematical shape to the local coefficient of emergence of Hartli, reflecting a degree of difference of system from the variety of its base devices. For local coefficient of emergence of Hartli, the generalization independent of an expedient (algorithm) of formation of subsystems in system is offered. Numerical estimates of system'

The article briefly discusses
1. CONCEPTUAL AND CONCEPTUAL PROBLEMS
2. MATHEMATICAL AND INFORMATION TECHNOLOGY PROBLEMS
3. ORGANIZATIONAL, LEGAL AND FINANCIAL PROBLEMS
4. DECOMPOSITION OF THE PROBLEMS OF SYNTHESIS OF AUTOMATED CONTROL SYSTEMS BY THE QUALITY OF TRAINING OF SPECIALISTS INTO A SEQUENCE OF TASKS
BIBLIOGRAPHY
The work was supported by a grant from KubSAU for 2006 to create a program for monitoring the quality of education.

Meat Academy website http://meatinfo.ru has a comparative table of breeds of cattle on 8 indicators, from which 2 are text and 6 are numerical http://meatinfo.ru/info/show?id=197. It is a natural question for business executives, which of these breeds are similar throughout the system of indicators characterizing them, and which ones differ and to what ex-tent. There is also the question of which indicators are similar and different in meaning and by how much. This article is devoted to the solution of these problems. The results of the study can be used by anyone, due to the fact that Eidos the universal automated system, which is a tool of ask-analysis, is in full open free access on the author's website at:http://lc.kubagro.ru/aidos/_Aidos-X.htm, and numerical examples of solving the mentioned problems with the use of artificial intelligence technologies are placed as a cloud Eidos-application #131

Dependence of seismic activity parameters on celestial bodies' positions is examined on the basis of semantic information models

Classic quantitative measure of the reliability of the models: F-measure by van Rijsbergen is based on counting the total number of correctly and incorrectly classified and not classified objects in the training sample. In multiclass classification systems, the facility can simultaneously apply to multiple classes. Accordingly, when the synthesis of the model description is used for formation of generalized images of many of the classes it belongs to. When using the model for classification, it is determined by the degree of similarity or divergence of the object with all classes, and a true-positive decision may be the membership of the object to several classes. The result of this classification may be that the object is not just rightly or wrongly relates or does not relate to different classes, both in the classical F-measure, but rightly or wrongly relates or does not relate to them in varying degrees. However, the classic F-measure does not count the fact that the object may in fact simultaneously belongs to multiple classes (multicrossover) and the fact that the classification result can be obtained with a different degree of similarity-differences of object classes (blurring). In the numerical example, the author states that with true-positive and true-negative decisions, the module similarities-differences of the object classes are much higher than for false-positive and false-negative decisions. It would therefore be rational to the extent that the reliability of the model to take into account not just the fact of true or false positive or negative decisions, but also to take into account the degree of confidence of the classifier in these decisions. In classifying big data we have revealed a large number of false-positive decisions with a low level of similarity, which, however, in total, contribute to reducing the reliability of the model. To overcome this problem, we propose a L2-measure, in which instead of the sum of levels of similarity we use the average similarity by different classifications. Thus, this work offers measures of the reliability of the models, called L1-measure and the L2 measure, mitigating and overcoming the shortcomings of the F-measures; these measures are described mathematically and their application is demonstrated on a simple numerical example. In the intellectual system called "Eidos", which is a software toolkit for the automated system-cognitive analysis (ASC-analysis), we have implemented all these measures of the reliability of the models: F, L1 and L2

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.

The article is devoted to an in-depth study of a multi-level semantic information model obtained on the basis of data for the Krasnodar Territory for 1991–2003. This model reflects the impact of investment policy, as well as the development of transport infrastructure, processing industry, logistics, the state of various market segments, the structure of production costs and production results in the agro-industrial complex on the quality of life. The applicability of the proposed quantitative integral criterion of the level of quality of life for identifying the years of the study period is demonstrated, and the functions of the influence of the volume and direction of investments on the level of quality of life of the population of the region are obtained. It is shown that this opens up the possibility of substantiating recommendations on the structure and volume of investments

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

Adequate and effective assessment of the efficiency, effectiveness and quality of scientific activities of specific scientists and research teams is crucial for the information society and society based on knowledge. The solution to this problem is the subject of scientometrics and its purpose. The current stage of development scientometrics differs greatly from its previous appearance in the open as well as paid on-line access to a huge amount of detailed data on a large number of indicators on individual authors and on scientific organizations and universities. In the world, there are well-known bibliographic databases: Web of Science, Scopus, Astrophysics Data System, PubMed, MathSciNet, zbMATH, Chemical Abstracts, Springer, Agris, or GeoRef. InRussia, it is primarily the Russian scientific citing index (RSCI). RSCI is a national information-analytical system, accumulating more than 9 million publications of Russian scientists, as well as information about citation of these publications from more than 6,000 Russian journals. There is a lot of data, so-called "Big data". The main primary scientometric indicator (based on which we build all the rest, such as the h-index) is the number of citations of the author's works, placed in the bibliographic database. This number of citations is determined by the software of RSCI using so-called "binding" which is a grammatical analysis and search in databases for works of the author, for relevant links from references in the works of various authors. However, the problem is, as experience shows, that authors make a very large number of simply incorrect and incomplete references in the reference lists, very far from standard. Currently, the software that RSCI uses does not automatically bind these invalid references, and this requires human intervention. But, centrally, to do this is not possible by experts of RSCI because of the huge amount of work, and distributed work for a large number of specialists in the field still requires a centralized moderation. As a result, the work for binding references to the literary sources is very slow and a huge amount of links is unbound. This leads to an underestimation of nano-matrices indicators of both individual authors and research teams that cannot be considered acceptable. The solution to this problem is offered by applying the automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – intellectual system called "Eidos". This work provides a numerical example of the intellectual anchor of the real incorrect references to the works of the author on the basis of a small amount of real scientific data that are publicly available free on-line access to the RSCI

Artificial intelligence system “Aids-Astra” for scientific research of global geo-systems depending on astronomical parameters of Solar system celestial bodies is discussed

The article has developed a specific system of scales and gradations that allows formalizing both primary indicators that characterize the development of the production sector and investment policy, and secondary indicators that are particular criteria for assessing the economic component of the quality of life of the population of the region. An integral criterion is proposed that allows in a comparable form to quantify the quality of life of the population in different years and in different regions, which is an additive function of particular criteria. A training sample has been designed that quantitatively characterizes the Krasnodar Territory by a large number of indicators for 1991–2003. The training sample was automatically imported into the universal cognitive analytical system "Eidos",

In this article, in accordance with the methodology of SC analysis, we consider particular implementation stages of the synthesis of the numerical model and its analysis. We have also presented the results of the determination of the different states of the processing complex function of various factors on these states and their classification, as well as semantic networks and cognitive class diagrams and factors. On the basis of the analysis we made specific findings and recommendations for decision making at the management level of the region. After execution of the stages of cognitive structuring and formalization of the subject area the further stages of automated SC analysis have been accomplished, the first of which is the phase of the input database of precedents. All these steps are performed directly using "Eidos"

The article briefly considers the prospects of some “points of growth” in the modern theoretical and computational mathematics: the numbers and sets, ie the base of modern mathematics; mathematical, pragmatic and computer numbers; from the usual sets - to unclear; the theory of fuzzy sets and “fuzzy doubling” of mathematics; the mix of fuzzy set theory to the theory of random sets; interval numbers as a special case of fuzzy sets; development of interval mathematics (interval doubling of mathematics); the system as a generalization of a multitude; the systematic generalization of mathematics and emerging tasks; the systematic generalization of operations on sets (on the example of the operation of the Boolean association); the systematic generalization of the concept of functions and functional dependencies participation; cognitive function; the matrix of knowledge as fuzziness with an estimated degree of truth of showing data systems arguments on the system of values of the function; modification of the method of least squares for the approximation of cognitive functions; development of the idea of the systematic generalization of mathematics in the field of information theory – system emergent information theory; information measures of the level of consistency; ratios of emergence; direct and opposite, direct and indirect logical reasoning with an estimated level of truth; intellectual system of Eidos X++ as a toolkit that implements the ideas of system of a fuzzy interval sum of mathematics modification of the method of least squares for the approximation of cognitive functions; development of the idea of the systematic generalization of mathematics in the field of information theory – system emergent information theory; information measures of the level of consistency; ratios of emergence; direct and opposite, direct and indirect logical reasoning with an estimated level of truth; intellectual system of Eidos X++ as a toolkit that implements the ideas of system of a fuzzy interval sum of mathematics modification of the method of least squares for the approximation of cognitive functions; development of the idea of the systematic generalization of mathematics in the field of information theory – system emergent information theory; information measures of the level of con-sistency; ratios of emergence; direct and opposite, direct and indirect logical reasoning with an estimated level of truth; intellectual system of Eidos X++ as a toolkit that implements the ideas of system of a fuzzy interval sum of mathematics direct and indirect logical reasoning with an estimated level of truth; intellectual system of Eidos X++ as a toolkit that implements the ideas of system of a fuzzy interval sum of mathematics direct and indirect logical reasoning with an estimated level of truth; intellectual system of Eidos X++ as a toolkit that implements the ideas of system of a fuzzy interval sum of mathematics

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 the 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

In previous works, the authors solved the problem of cognitive structuring and formalization of the subject area, synthesis and verification of system-cognitive models, predicting the impact of nomenclature and sales volumes on the profit and profitability of the trading company, decision support for the selection of such nomenclature and sales volumes, which cause a given target profit and profitability of the company. This work is dedicated to the study of the simulated subject area by studying its SC-model

Dependence of seismic activity parameters on celestial bodies' positions and geographical and magnetic poles displacement is examined on the basis of semantic information models

Some authors of the Polythematic Network Electronic Scientific Journal of the Kuban State Agrarian University (scientific journal of KubSAU) have published quite a lot of articles in this journal. The smallest number of articles belongs to the author, who is in the top 10 by the number of articles 53, five authors in this journal published more than 100 articles each (http://ej.kubagro.ru/a/?order=p). Many authors would like to combine their articles published in a journal into a monograph or use them in other publications such as textbooks and other articles. Therefore, the question arises of how to download all your articles from the journal's website. The site of the Scientific Journal of KubSAU provides the ability to download articles one by one, both in pdf-file and in MS Word format in zip-archives. However, the problem is that it is quite laborious and inconvenient in the case when there are quite a lot of articles, and such a need often arises for many authors. This work is devoted to the solution of this problem. This is its relevance for many authors. The purpose of this work is to solve the problem by developing a program specifically designed for downloading articles from the site of the Scientific Journal of KubSAU, as well as from other sites. As a result, such a program was developed by the author, the goal of the work was achieved, the problem posed was solved. This program is available in full open free access on the author's page in the international network of scientists and university teachers: https://www.researchgate.net/profile/Eugene-Lutsenko.

The article considers the application of Eidos intellectual technologies for the 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

In this article, we have set, considered and solved the actual problem of reliable quantitative forecasting of fraud risks for credit card transactions. To solve the problem, we used real data from the Kaggle portal. We also used Automated system-cognitive analysis (ASC-analysis) and its software tools, which is currently used as an intelligent system "Eidos". The object, subject, problem, hypothesis, purpose, method, research tasks are considered (research problems, a brief justification for choosing a research method, research tasks). The article also provides a solution of the following research tasks. Task-1. Cognitive structuring and formalization of the subject area. Task-2. Synthesis and verification of models (synthesis of statistical and system-cognitive models (multiparametric typing), private knowledge criteria, model verification, model reliability criteria, frequency distributions of true and false positive and negative decisions in various models, comparison of the reliability of positive and negative decisions in the model with the probability of random guessing, assessment of the information power of the model, assessment of the share of the impact of transaction characteristics in the fraud risk determination system, synthesis of a random model based on real, comparison of the frequency distributions of true and false positive and negative solutions in real and random models, comparison of the reliability of positive and negative solutions in real and random models compared with random guessing, comparison of the information power of real and random models and evaluation of the ratio of the useful signal to noise). Task-3. The solution of the forecasting problem (system identification), integral criteria, what is an integral criterion and what is it needed for, the 1st integral criterion "Sum of knowledge", the 2nd integral criterion "Semantic resonance of knowledge", some mathematical properties of integral criteria, the solution of the identification and forecasting problem. Task-4. Solution of the decision-making problem (results of multiparameter class typing). Task-5. Solving the problem of studying the simulated subject area by studying its model (inverted SWOT diagrams of the values of transaction characteristics (semantic potentials), cluster-constructive analysis of classes, cluster-constructive analysis of the values of transaction characteristics, non-local neurons, non-local neural network, 3D-integral cognitive maps, 2D-integral cognitive maps of meaningful comparison of classes, 2D-integral cognitive maps of meaningful comparison of factor values, cognitive functions, the significance of transaction characteristics and their values, the degree of determinism of classes and classification scales). The entire presentation in the work is based on a detailed numerical example that reveals all the listed aspects of solving the problem

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 the 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 "Ei-dos" system, cognitive structurization of a data do-main, data domain formalization, preparation of training sample, semantic information model synthesis, a raise of performance and verification (reliability estimation) of the given model

The article describes a large-scale experiment on the application of a new method of artificial intelligence - automated system-cognitive analysis (ASC-analysis) to identify dependencies between astrofeatures and generalized categories (based on a study of a sample of 20,007 respondents) by typing (generalization), as well as using the knowledge of these dependencies to identify new respondents who are not included in the training sample for these categories and conduct a study of the created model.

The article describes the procedure for studying a semantic information model, proposes a solution to the problems of identification and forecasting, studies the system for determining states and functions of the influence of factors, and system-cognitive analysis of the model.

We study the correlation between the stock index S&P 500 with the parameters of seismic activity, the position of celestial bodies and shifts the geographic and magnetic poles

The article describes the results of using system-cognitive analysis to predict the impact of car sales transactions on the main economic indicators of the auto center and support decision-making on supplies.

The article describes the procedure for synthesizing, optimizing and verifying a semantic information model for managing salinity and groundwater levels.

The quality of life of the population of the region is an important integral criterion of estimation of efficiency of activity of regional administration. Quality of life is mostly influenced by environmental factors. This article proposes to solve the problem of research of the influence of environmental factors on various aspects of quality of life by using ASC-analysis

The paper discusses the modeling and prediction of the climate of our planet with the use of artificial intelligence AIDOS-X. We have developed a number of semantic information models, demonstrating the presence of the elements of similarity between the motion of the lunar orbit and the displacement of the instantaneous pole of the Earth. It was found that the movement of the poles of the Earth leading to the variations in the magnetic field, seismic events, as well as violations of the global atmospheric circulation and water, and particular to the emergence of episodes such as El Niño and La Niña. Through semantic information models studied some equatorial regions of the Pacific Ocean, as well as spatial patterns of temperate latitudes, revealed their relative importance for the prediction of global climatic disturbances in the tropical and temperate latitudes. The reasons of occurrence of El Niño Modoki and their relationship with the movement of elements of the lunar orbit in the long-term cycles are established. Earlier, we had made a forecast of the occurrence of El Niño episode in 2015. Based on the analysis of semantic models concluded that the expected El Niño classical type. On the basis of the prediction block AIDOS-X calculated monthly evolution scenario of global climate anomalies. In this paper, the analysis of the actual implementation forecast of El Niño since its publication in January 2015 - before June 2015. It is shown that the predicted scenario of climatic anomalies actually realized. Calculations of future climate scenarios with system «Aidos-X» recognition module indicate that further possible abnormal excess temperature indicators of surface ocean waters in regions Nino 1,2 and Nino3,4 for 2015 may be comparable with similar abnormalities in the cata-strophic El Niño of 1997-1998.

The article deals with the use of intelligent technology "Aidos" for the prevention of fires, electrical injuries, and accidents at the agricultural sector and optimizing the security measures of human-machine systems. Causes of accidents are multi-phase or single-phase short-circuit in the supply network or electrical installation, the failure of the primary protective equipment and violations of regimes for electrical installations, causing overloads, deterioration of the insulation of supply cables, the mismatch of protective devices to regulatory requirements. Implementation of system-cognitive analysis provides a reduction in the number of dangerous fabricated experiences at hazardous production facilities. Due to the application of ASC-analysis, it provides a more efficient operation of electric installations on dangerous industrial objects, which means to prevent fires, electric shock injuries, accidents and optimize the safety measures for man-machine systems. Users of the system called "Eidos" may be companies with a high risk of appearance of the accidents at hazardous production objects: agroindustrial complex, gas supply, heat and electricity, oil-processing components, metallurgical industry, chemical, petrochemical and oil industry, main pipelines-wire transport, food and oil industry and others. Planned efficiency and effectiveness of the implementation of ASC-analysis is provided by reducing the number of dangerous man-made situations: accidents, fires, and electrocution on dangerous production units-projects.

Intuitively everyone understands that noise is a signal in which there no information is, or which in practice fails to reveal the information. More precisely, it is clear that a certain sequence of elements (the number) the more is the noise, the less information is contained in the values of some elements on the values of others. It is even stranger, that no one has suggested the way, but even the idea of measuring the amount of information in some fragments of signal of other fragments and its use as a criterion for assessing the degree of closeness of the signal to the noise. The authors pro-pose the asymptotic information criterion of the quality of noise, and the method, technology and methodology of its application in practice. As a method of application of the asymptotic information criterion of noise quality, we offer, in practice, the automated system-cognitive analysis (ASC-analysis), and as a technology and software tools of ASC-analysis we offer the universal cognitive analytical system called "Eidos". As a method, we propose a technique of creating applications in the system, as well as their use for solving problems of identification, prediction, decision making and research the subject area by examining its model. We present an illustrative numerical example showing the ideas presented and demonstrating the efficiency of the proposed asymptotic information criterion of the quality of the noise, and the method, technology and methodology of its application in practice we propose a technique of creating applications in the system, as well as their use for solving problems of identification, prediction, decision making and research the subject area by examining its model. We present an illustrative numerical example showing the ideas presented and demonstrating the efficiency of the proposed asymptotic information criterion of the quality of the noise, and the method, technology and methodology of its application in practice we propose a technique of creating applications in the system, as well as their use for solving problems of identification, prediction, decision making and research the subject area by examining its model. We present an illustrative numerical example showing the ideas presented and demonstrating the efficiency of the proposed asymptotic information criterion of the quality of the noise, and the method, technology and methodology of its application in practice

The change in the quality of life is proposed to be considered as the most important integral criterion for assessing the performance of the regional administration. The structure and content of the concept of "quality of life" is studied, quantitative partial criteria that are part of this integral criterion are concretized. The task is to study the impact on the quality of life of various factors, among which are considered: the state of various market segments, the structure of production costs, production results, tax revenues, investment activity. A fundamental cognitive model is proposed that reflects the hierarchical structure of the system of factors affecting the quality of life, in which the structure and volume of investments act as an economic regulator that allows you to manage the quality of life of the population at the regional level.

The article describes the specific implementation of the methodology for predicting students' educational achievements based on the use of the mathematical method of automated system-cognitive analysis and its tools - the universal automated system "Eidos". The described technology can be used both for real forecasting of students' educational achievements and assessment of their abilities in various subject areas, and as a guide to laboratory work when teaching the discipline "Intelligent Information Systems" for students of the specialties: "Applied Informatics in Economics" and "Applied informatics in jurisprudence”.

Interval estimates reduce the analysis of numbers to the analysis of facts and allow quantitative values to be treated as non-numerical data. However, this limits the possibilities of processing quantitative values by methods of processing non-numerical data. In the mathematical model of SC-analysis, based on the system information theory, on the contrary, qualitative, non-numerical data are assigned quantitative values. This allows you to use all the possibilities of quantitative methods for the study of non-numerical data. Thus, in SC analysis, numerical and non-numerical data are treated uniformly based on the same mathematical model as numerical data. The connection of the method of measuring the adequacy of the model in the SC analysis with bootstrap methods is considered. A robust procedure for identifying and eliminating artifacts in SC analysis is described.

In this article, the actual problem of forecasting the
values and scenarios of changes in the values of
economic indicators of the holding is posed, considered
and solved. The methodology, methodology and tools
for the theoretical and practical solution of this problem
are proposed through the use of scenario automated
system-cognitive analysis (scenario ASC-analysis) and
its software tools - the intelligent system "Eidos". A
detailed numerical example based on real data is given.
As the analysis of the results of the numerical
experiment shows, the solution of the tasks proposed
and implemented in the Eidos system is quite effective,
which allows us to reasonably assert that the goal of the
work has been achieved, the problem has been solved.
As a result of the research, using the Eidos system,
statistical and system-cognitive models were created
directly on the basis of real empirical data, in which
generalized class images correspond to the future
values of the holding's economic indicators and
scenarios for their change. The created models reflect
the strength and direction of the influence of the past
values of the economic indicators of the holding and
scenarios of their change on the transition of the
holding to the states corresponding to the classes, i.e.
the forecasting problem has been solved

This article solves the problem of studying the
structure of variability of meteorological parameters:
"Maximum temperature / Minimum temperature
/Average temperature /Atmospheric pressure /Wind
speed /Precipitation/ Effective temperature" in the city
of Krasnodar according to long-term data from 1933 to
2020. Thus, the initial data include 24,834
observations on 7 climatic parameters. To solve this
problem, we use automated system-cognitive analysis
(ASC analysis) and its software tools – an intelligent
system called "Eidos". ASC analysis includes:
theoretical foundations, in particular the basic
formalizable cognitive concept; a mathematical model
based on a systematic generalization of information
theory (STI); a methodology for numerical
calculations (database structures and algorithms for
their processing); software tools, which currently
serves as a universal cognitive analytical system
"Eidos" (intelligent system "Eidos"). The whole
process of creating models and their application to
solve problems in ASC analysis and the Eidos system
provides for the following stages of ASC analysis. The
1st stage of the ASC analysis: "Cognitive-target
structuring of the subject area". At the 1st and only
non-automated stage of the ASC analysis, in fact, a
semantic statement of the problem is made, i.e. the
following are determined: the object of modeling
(management); factors acting on the object of
modeling (descriptive scales); future states into which
the object of modeling passes under the influence of
these factors (classification scales). The 2nd stage of
the ASC analysis: "Formalization of the subject area".
At this stage of ASC analysis, classification and
descriptive scales and gradations are developed using
automated software interfaces of the Eidos system
(API-Eidos); the source data is encoded using
classification and descriptive scales and gradations, as
a result of which a training sample is formed, in fact,
representing a normalized database of source data. The
3rd stage of the ASC analysis: "Synthesis and
verification of models". At this stage of the ASK
analysis: by means of multiparametric typing, the synthesis of 3 statistical and 7 system-cognitive
models is carried out; verification of all created models
is carried out, i.e. using the standard classical Van
Rizbergen F-measure and its fuzzy multiclass
generalization, invariant with respect to the volume of
the recognized sample proposed by the author, the
reliability of models is evaluated by solving the
problem of identifying objects of the training sample,
which are already reliably known to which classes they
belong. As a result, the most reliable model is selected
and it is determined whether it is correct to use it for
solving various tasks. The 4th stage of ASC analysis:
"Problem solving" in the most reliable model (if it is
reliable enough for this), the following tasks are
solved: recognition, system identification,
classification, diagnostics and forecasting; decisionmaking
tasks (management and typological analysis);
research tasks of the modeled subject area by studying
its model: Inverted SWOT diagrams of descriptive
scale values (semantic potentials); Cluster-constructive
analysis of classes; Cluster-constructive analysis of
factor values; Knowledge model of the Eidos system
and non-local neurons; Non-local neural network; 3Dintegral
cognitive maps; 2D-integral cognitive maps of
meaningful class comparison (indirect fuzzy plausible
reasoning); 2D-integral cognitive maps of meaningful
comparison of factor values (indirect fuzzy plausible
reasoning); Cognitive functions; Significance of
gradations of descriptive scales (values of climatic
parameters); Significance of descriptive scales
(climatic parameters); The degree of determinism of
classes (time periods) and classification scales. We
have provided a detailed numerical example of the
implementation of all these stages and a detailed stepby-
step instruction of user actions in the Eidos system
with an explanation of their meaning, which makes it
possible to use this work for educational purposes

In this article, we have set, considered and solved the actual problem of reliable quantitative forecasting of fraud risks for credit card transactions. To solve the problem, we used real data from the Kaggle portal. We also used Automated system-cognitive analysis (ASC-analysis) and its software tools, which is currently used as an intelligent system "Eidos". The object, subject, problem, hypothesis, purpose, method, research tasks are considered (research problems, a brief justification for choosing a research method, research tasks). The article also provides a solution of the following research tasks. Task-1. Cognitive structuring and formalization of the subject area. Task-2. Synthesis and verification of models (synthesis of statistical and system-cognitive models (multiparametric typing), private knowledge criteria, model verification, model reliability criteria, frequency distributions of true and false positive and negative decisions in various models, comparison of the reliability of positive and negative decisions in the model with the probability of random guessing, assessment of the information power of the model, assessment of the share of the impact of transaction characteristics in the fraud risk determination system, synthesis of a random model based on real, comparison of the frequency distributions of true and false positive and negative solutions in real and random models, comparison of the reliability of positive and negative solutions in real and random models compared with random guessing, comparison of the information power of real and random models and evaluation of the ratio of the useful signal to noise). Task-3. The solution of the forecasting problem (system identification), integral criteria, what is an integral criterion and what is it needed for, the 1st integral criterion "Sum of knowledge", the 2nd integral criterion "Semantic resonance of knowledge", some mathematical properties of integral criteria, the solution of the identification and forecasting problem. Task-4. Solution of the decision-making problem (results of multiparameter class typing). Task-5. Solving the problem of studying the simulated subject area by studying its model (inverted SWOT diagrams of the values of transaction characteristics (semantic potentials), cluster-constructive analysis of classes, cluster-constructive analysis of the values of transaction characteristics, non-local neurons, non-local neural network, 3D-integral cognitive maps, 2D-integral cognitive maps of meaningful comparison of classes, 2D-integral cognitive maps of meaningful comparison of factor values, cognitive functions, the significance of transaction characteristics and their values, the degree of determinism of classes and classification scales). The entire presentation in the work is based on a detailed numerical example that reveals all the listed aspects of solving the problem

CONTENT
DOING 3
1. CHAPTER-1: WORK ISSUES 3
1.1. DESCRIPTION OF THE SUBJECT AREA, OBJECT, SUBJECT, PROBLEM, PURPOSE AND TASKS OF THE WORK 3
1.2. JUSTIFICATION OF THE REQUIREMENTS FOR THE METHOD OF SOLVING THE PROBLEM 4
1.3. LITERATURE REVIEW OF TRADITIONAL METHODS FOR SOLVING THE PROBLEM, THEIR CHARACTERISTICS AND ASSESSMENT OF THE DEGREE OF COMPLIANCE WITH REASONABLE REQUIREMENTS 6
1.4. CONCLUSIONS 6
2. CHAPTER-2: SCIENTIFIC (THEORETICAL) SOLUTION OF THE PROBLEM 7
2.1. IDEA AND CONCEPT OF SCIENTIFIC PROBLEM SOLUTION 7
2.2. DESCRIPTION OF THE GENERAL THEORY OF PROBLEM SOLVING 7
2.3. DESCRIPTION OF THE AUTHOR'S PERSONAL CONTRIBUTION TO THE THEORETICAL SOLUTION OF THE PROBLEM (SCIENTIFIC NOVELTY) 7
2.4. CONCLUSIONS 8
3. CHAPTER-3: TECHNOLOGY (TOOLS) AND METHODOLOGY FOR SOLVING THE PROBLEM 8
3.1. FEASIBILITY STUDY OF THE FEASIBILITY OF WORK (FEASIBILITY STUDY) 8
3.2. TERMS OF REFERENCE (TOR): FUNCTIONAL DESCRIPTION OF WHAT NEEDS TO BE DONE (TOR) 8
3.3. TECHNICAL PROJECT (TP) AND WORKING PROJECT (RP): DATA STRUCTURES AND RELATIONSHIPS, ALGORITHMS FOR THEIR PROCESSING, IMPLEMENTATION 9
3.4. CONCLUSIONS 9
4. CHAPTER-4: APPLICATION OF THE DEVELOPED TECHNOLOGY IN PRACTICE, ITS IMPLEMENTATION AND EVALUATION OF THE EFFECTIVENESS OF SOLVING THE PROBLEM 9
4.1. METHODOLOGY, PLAN AND IMPLEMENTATION ASSURANCE 9
4.2. METHODOLOGY FOR EVALUATING THE EFFECTIVENESS OF IMPLEMENTATION 10
4.3. DESCRIPTION OF THE IMPLEMENTATION AND ITS RESULTS 10
4.4. CONCLUSIONS 10
CONCLUSION 11
LITERATURE 11

This paper solves the problem of studying the structure of the variability of meteorological parameters: "Maximum temperature Minimum temperature Average temperature Atmospheric pressure Wind speed Precipitation Effective temperature" in the city of Krasnodar according to long-term data from 1933 to 2020. Thus, the initial data include observations in Krasnodar for 24834 days according to 7 climatic parameters. To solve the problem, scenario automated system-cognitive analysis (scenario ASC-analysis) and its software tools - the intellectual system "Eidos" are used. Scenario ASC analysis differs from the classical one in that, in addition to point values of factors and the results of their action on the modeling object, it makes it possible to conveniently study their dynamics, i.e. Scenarios for their change. ASC analysis includes: theoretical foundations, in particular, the basic formalizable cognitive concept; a mathematical model based on a systemic generalization of information theory (STI); methods of numerical calculations (database structures and algorithms for their processing); software tools, which is currently the universal cognitive analytical system "Eidos" (intellectual system "Eidos"). The entire process of creating models and applying them to solve problems in ASC analysis and the Eidos system includes the following stages of ASC analysis. 1st stage of ASC-analysis: "Cognitive-target structuring of the subject area". At the 1st and only non-automated stage of ASC-analysis, in fact, a semantic statement of the problem is made, i.e. are determined: object of modeling (control); factors acting on the object of modeling (descriptive scales) and future states, into which the modeling object passes under the influence of these factors (classification scales). 2nd stage of ASC-analysis: "Formalization of the subject area". At this stage of the ASC analysis using automated program interfaces of the Eidos system (API-Eidos) with external sources of data of various types, tabular, textual and graphic, classification and descriptive scales and gradations are first developed, and then the source data are encoded using classification and descriptive scales and gradations, as a result of which a training sample is formed, which, in fact, is a normalized base of the initial data. 3rd stage of ASC-analysis: "Synthesis and verification of models". At this stage of ASC-analysis: by means of multi-parameter typing, synthesis of 3 statistical and 7 system-cognitive models is carried out; verification of all created models is carried out, i.e. Using the standard classical F-measure of Van Riesbergen and its fuzzy multiclass generalization, invariant with respect to the size of the recognizable sample, proposed by the author, the reliability of the models is estimated by solving the problem of identifying the objects of the training sample, which are already reliably known to which classes they belong. As a result, the most reliable model is selected and it is determined whether it is correct to use it for solving various problems. 4th stage of ASC-analysis: "Problem solving" in the most reliable model (if it is sufficiently reliable for this), the following tasks are solved: tasks of recognition, system identification, classification, diagnostics and forecasting; decision-making tasks (management and typological analysis); tasks of studying the modeled subject area by studying its model: Inverted SWOT-diagrams of the values of descriptive scales (semantic potentials); cluster-constructive analysis of classes; cluster-constructive analysis of factor values; The knowledge model of the "Eidos" system and non-local neurons; non-local neural network; 3D-integrated cognitive maps; 2D-integrated cognitive maps of meaningful class comparison (mediated fuzzy plausible reasoning); 2D-integrated cognitive maps of meaningful comparison of factor values (mediated fuzzy plausible reasoning); cognitive functions; the significance of gradations of descriptive scales (values of climatic parameters); the significance of descriptive scales (climatic parameters); the degree of determinism of classes (time periods) and classification scales. A detailed numerical example of the implementation of all these stages and a detailed step-by-step instruction of user actions in the Eidos system with an explanation of their meaning are given, which makes it possible to use this work for educational purposes.

The textbook-reader on the discipline "Knowledge Management" in-cludes a course of lectures, as well as practical tasks for self-fulfillment, tests and topics of essays.
The structure of the textbook-reader is determined mainly by the wonderful presentation of Professor Niyaz Mustyakimovich Abdikeev: "Creating a knowledge management system in an organization" and contains texts by various authors, incl. compiler, by sections.
Designed for students in the field of study 09.04.03 Applied Informatics, "Project Management in the field of information systems" of all levels of education: specialist, bachelor's, master's and postgraduate studies, as well as for all forms of education: full-time, part-time, contact and distance learning.

The textbook-reader presents a course of 8 lectures and 8 practical exercises; guidelines for their implementation; assignments for independent work and a fund of assessment tools for the discipline: B1.V.DV.1."Psychology of programming".
The textbook-reader is intended for undergraduate, graduate and postgraduate students of all forms of education: full-time, part-time and distance learning, as well as for all those interested in the psychology of programming.

TABLE OF CONTENTS
"REALITY" 19
1. INTRODUCTION 19
2. ABOUT TRANSITION INTO MENTAL CONSCIOUSNESS 33
CONCLUSION 52
MAN IS NATURE. NEW APPROACH TO THE PROBLEM 55
STEP BACK – TWO STEPS FORWARD 69
LETTER FROM THE AUTHOR 71
FOREWORD BY THE AUTHOR FROM 2004 71
1. INTRODUCTION 75
2. THE MAIN QUESTION OF PHILOSOPHY 75
3. THEORY OF CONSCIOUSNESS 83
4. "SPARKS" 107
5. CONCLUSION 111
LITERATURE 114
THEORETICAL FOUNDATIONS FOR THE SYNTHESIS OF QUASI-BIOLOGICAL ROBOTS (QBR) 115
CONTENT (PLANNED) 118
UNIFIED FORMALIZED SYSTEM OF KEY TERMS (EFSKT) 120
FOREWORD 121
1. INTRODUCTION. 122
THE RELEVANCE OF THE PROBLEM OF CREATING THE CBD 122
PART I 123
2. INFORMATION-FUNCTIONAL THEORY OF THE DEVELOPMENT OF HUMAN CONSCIOUSNESS AND HIS MEANS OF WORK IN SOCIO-ECONOMIC FORMATIONS AND GROUPS OF FORMATIONS 123
PART II. 147
3. DEFINITION, CLASSIFICATION AND CHARACTERISTICS OF CBD. 147
4. SYNTHESIS OF THE CBD OF DEVELOPED SOCIALISM 157
PART III. 172
ANALYSIS OF THE CBD CREATION PROCESS 172
GROUPS OF COMMUNIST FORMATIONS 172
THESES TO THE WORKS "ONE STEP BACK - TWO STEPS FORWARD", "THEORETICAL FOUNDATIONS OF SYNTHESIS QUASI-BIOLOGICAL ROBOTS", PART 1 AND PART 2. 198
NON-CLASSICAL UNIVERSAL MOVEMENT (REPORT BASED ON THE MATERIALS OF THE WORKS "A STEP BACK - TWO STEPS FORWARD" AND "THEORETICAL FOUNDATIONS FOR THE SYNTHESIS OF QUASI-BIOLOGICAL ROBOTS") 206
1. INTRODUCTION. UNIDENTIFIED FLYING OBJECTS AS NON-CLASSICAL UNIVERSAL VEHICLES. 207
2. THEORETICAL EXPLANATION OF THE CHARACTERISTIC EXTERNAL FEATURES OF A UFO AND THE FEATURES OF ITS IMPACT ON THE ENVIRONMENT, LIVING ORGANISMS AND TECHNICAL MEANS. 207
3. HISTORICAL NECESSITY AND SOCIO-POLITICAL CONSEQUENCES OF THE CREATION AND MASS IMPLEMENTATION OF NUSP. 211
4. WAYS TO CREATE NUSP AND SOCIO-PSYCHOLOGICAL CONSEQUENCES OF THEIR MASS INTRODUCTION. 212
5. ECONOMIC EFFICIENCY OF NUSP. 213
6. WAYS TO SOLVE WORLDVIEW PROBLEMS RELATED TO THE FACT OF THE EXISTENCE OF NUSP. 213
7. PERSPECTIVES. 214
LITERATURE 215
REFERATIVE LITERATURE REVIEW AND PROMISING DIRECTIONS OF RESEARCH ON THE PROBLEM "VEGA-72" 217
INTRODUCTION 217
BIBLIOGRAPHY 220
SOME PROBLEMS AND PROSPECTS FOR THE DEVELOPMENT OF BIOELECTRONICS (REPORT AT THE REGIONAL CONFERENCE ON BIOELECTRONICS MAY 14, 1982, KRASNODAR) 222
1. INTRODUCTION 225
2. EXPERIMENTAL RESEARCH IN BIOELECTRONICS 226
3. THEORETICAL RESEARCH IN BIOELECTRONICS 230
4. CONCLUSION. 231
TO THE MASTER WHOSE STAR SHINES FROM THE FUTURE (TALKS ABOUT THE ART OF TURNING PEARL INTO DIAMOND) 234
CONTENT 238
INTERVIEW OF THE AUTHOR TO THE EDITOR OF THE VITEBSK WEEKLY "MAN, UNIVERSE, IMMORTALITY" AND SUPPLIES TO THE BULLETIN "LOOKING BEYOND THE HORIZON" L.A. POLYKOVSKY 247
TO THE READER 254
1. THE WHEEL OF ETERNITY 256
2. DIALECTICS OF CHANGE OF IDEOLOGICAL PARADIGMS 268
3. SEVEN COLORS OF THE RAINBOW OF LIFE 273
4. BRANCHING UNIVERSE. HYPOTHESIS ON THE PHYSICAL NATURE OF THE UFO AND THE TUNGUSKA PHENOMENON 279
5. HYPOTHESIS ABOUT THE WORLD COMPUTER, MENTAL PROGRAMMING AND UFOS 283
6. HIGHER FORMS OF CONSCIOUSNESS: - THEORY AND PRACTICE OF DEVELOPMENT, METHODOLOGY AND CLASSIFICATION 288
7. CLASSIFICATION OF METHODS OF HUMAN TRANSITION TO HIGHER FORMS OF CONSCIOUSNESS 300
8. METHOD OF TRANSITION FROM PHYSICAL CONSCIOUSNESS TO ASTRAL, AND FROM IT TO MENTAL AND BUDHIC (FS - DAS - AS - FS - MS - AS - BS). CHARACTERISTICS OF NORMAL FORMS OF CONSCIOUSNESS 305
9. MIRROR MODEL OF DEVELOPMENT OF CONSCIOUSNESS. THE ART OF PEARL CULTIVATION AND THE ART OF TURNING PEARL INTO DIAMOND 323
10. HUMAN POSSIBILITIES UNDER SOME FORMS OF CONSCIOUSNESS 328
11. HOW PEOPLE IN DIFFERENT FORMS OF CONSCIOUSNESS PERCEIVE EACH OTHER 329
12. CONSCIOUSNESS AND REINCARNATION, I.E. REINCARNATIONS 331
13. THE PROCESS OF REINCARNATIONS AS HUMAN MOVEMENT IN THE SUPERSPACE OF DEVELOPMENT 332
14. THINKING, SPEECH AND READING IN VARIOUS FORMS OF CONSCIOUSNESS 335
15. HIERARCHY OF MANVANTARAS, FRACTAL STRUCTURE OF THE UNIVERSE AND PROCESSES OF EVOLUTION OF CONSCIOUSNESS 338
16. BASIC PRINCIPLES OF THE GREAT TEODOL DOCTRINE 340
17. CONSCIOUSNESS AND DEVELOPMENT OF SOCIETY 341
18. PIT, NIYAMA AND AHIMSA AS THE BASIS OF SAFETY. MOTIVATION AND THE LAW 345
19. TECHNOLOGICAL PROGRESS AS A PATH TO LIBERATION 345
20. THE CONCEPT "NOOSPHERE" AND THE QUANTUM MODEL OF THE SOLAR SYSTEM. SCIENCE ON THE WAY TO SYNTHESIS WITH THE ESOTERIC CONCEPT OF COSMOS 346
21. MARXIST MODELS AND REAL WAYS OF DEVELOPMENT OF SOCIETY 350
22. ABOUT THE PATH OF TRANSITION OF TECHNOCRATIC CIVILIZATION TO A POST-APOCALYPTIC SOCIETY 363
23. INFORMATIONAL ANALYSIS OF THE LABOR PROCESS AND HYPOTHESES ABOUT THE INFORMATIONAL NATURE OF COST AND TIME 365
24. COGNITIVE CONCEPT OF THE "EIDOS" SYSTEM 371
25. BIOLOCATION AS A QUANTITATIVE COMPARABLE METHOD OF INVESTIGATION OF OBJECTS OF DIFFERENT NATURE AND SCALE 381
26. BRIEF DESCRIPTION OF SOME CASES AND EXPERIMENTS OF THE AUTHOR IN HIGHER FORMS OF CONSCIOUSNESS 394
27. TRANSITION TO THE HIGHER FORMS OF CONSCIOUSNESS AS THE HIGHEST FORM OF NON-SPECIFIC ADAPTIVE REACTION 462
28. SOME IDEAS FROM 1977 466
29. APPS 473
DICTIONARY 475
30. CONCLUSION 485
BIBLIOGRAPHY 486
SOME ABBREVIATIONS 486
REALITY CRITERIA AND THE PRINCIPLE OF EQUIVALENCE OF VIRTUAL AND "TRUE" REALITY 490
TYPING AND IDENTIFICATION OF RESPONDENTS IN SOCIOLOGY ACCORDING TO THEIR ASTRONOMIC INDICATORS AT THE TIME OF BIRTH 495
ASTROSOCIOTYPOLOGY AND SPECTRAL ANALYSIS OF PERSONALITY BY ASTROSOCIOTYPES USING SEMANTIC INFORMATION MULTIMODELS 518
EXISTENCE, NON-EXISTENCE AND CHANGE AS EMERGENT PROPERTIES OF SYSTEMS 575
GENERALIZED MODEL OF DETERMINISTIC-BIFURCATION DYNAMICS OF SYSTEMS 576
NATURAL SCIENTIFIC CRITERIA OF OBJECTIVE AND SUBJECTIVE EXISTENCE 581
THE PRINCIPLES OF NON-GEOCENTRISM AND THE NON-ANTHROPIC PRINCIPLE 581
THE ILLUSION OF THE SUBJECTIVE AS ONE OF THE FORMS OF MAYA 584
APPLICATION OF THE CRITERIA OF REALITY IN PRACTICE IN VARIOUS ALTERED FORMS OF CONSCIOUSNESS (IFS) 585
VIRTUALIZATION OF SOCIETY AS THE MAIN INFORMATION ASPECT OF GLOBALIZATION (BASICS OF INFORMATION-FUNCTIONAL THEORY OF TECHNOLOGY DEVELOPMENT AND INFORMATION THEORY OF VALUE) 587
1. THE CONTENT OF THE CONCEPT "VIRTUALIZATION OF SOCIETY" 588
2. BACKGROUND TO THE STUDY OF THE VIRTUALIZATION OF SOCIETY 590
3. THE MAIN PROVISIONS OF THE INFORMATION-FUNCTIONAL THEORY OF TECHNOLOGY DEVELOPMENT 590
4. INFORMATION THEORY OF VALUE 594
5. INTELLECTUALIZATION - THE GENERAL DIRECTION OF THE DEVELOPMENT OF INFORMATION TECHNOLOGIES IN THE ERA OF GLOBALIZATION 597
CONCLUSIONS 598
BIBLIOGRAPHY 599
SOME MATERIALS OF OFFICIAL CORRESPONDENCE ON THE PROBLEM OF CREATING NON-CLASSICAL ADAPTIVE AUTOMATED REMOTE TELEKINETIC CONTROL SYSTEMS (ADCS) 600
(BRIEF REFERENCE "ON OUR ADVENTURES" AND ATTEMPTS TO OPEN IN THE USSR RESEARCH AND DEVELOPMENT IN THE FIELD OF CREATING AUTOMATED CONTROL SYSTEMS, WHICH A HUMAN OPERATOR CAN CONTROL IN THE VFS IN MUCH THE SAME WAY AS IN THE FS WITH HIS BODY). 600
LIST OF SCIENTIFIC AND EDUCATIONAL WORKS 607

The textbook contains educational and methodological materials for studying the discipline "Scientific journalism": a course of lectures, guidelines for contact and independent work, a list of questions on the main sections and topics, practical tasks for self-fulfillment, tests and topics of essays.
Designed for undergraduates studying in the direction of training 09.04.02 Information systems and technologies, focus "Design and research activities in the field of information technology"