Scientific Journal of KubSAU

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 article describes a software interface with the universal cognitive analytical system "Eidos-X++" ensuring the transformation of character, in particular – the numerical series in a form that is directly perceived by this system. As a result, the system can contain 3 statistical and 7 intellectual models of the series, which highlights the relationship between the characters or numbers in these lines. To reflect the relationships between the characters we used the same private and integral data of the automated system of cognitive analysis (ASC-analysis), and in the reflection of reasons-and-effect relationships between events in the real area that has not previously been used in the theory of numbers. The article provides a detailed numerical examples of such studies on the example of the identification of relationships between numbers that represent the decimal digits of the PI number, in the example we use one million digits of the PI number after the decimal point

The article discusses the use of automatic systemic-cognitive analysis (ASC-analysis), its mathematical model is a system of information theory and software tools – an intellectual system called "Eidos" for the solution of some problems of ampelography: 1) digitization of scanned images of the leaves and creation of their mathematical models; 2) the formation of mathematical models of specific leaves using the spreading of information theory; 3) the formation of models of generalized images of leaves of various sorts; 4) comparing an image of a specific leaf with a generalized image of the leaf of different varieties and finding a quantitative degree of similarity and differences between them, i.e. the identification of the varieties on the leaf; 5) quantification of the similarities and differences of the varieties, i.e. cluster-constructive analysis of generalized images of the leaves of different varieties. We propose a new approach to digitizing images of leaves, based on using the polar coordinate system, the center of gravity of the image and its external contour. Before scanning images we may use transformation to standardize the position of the still images, their sizes and rotation angle. Therefore, the results of digitization and ASC-analysis of the images might be invariant (independent) relatively to their position, size and rotation. The specific shape of the contour of the leaf is regarded as noise information on the variety, including information about the true shape of the leaf of the class (clean signal) and noise, which distort this true form, originating in a random environment. Software tools of ASC-analysis – intellectual "Eidos" system ensures noise reduction and the selection of the signal about the true shape of the leaf of each variety on the basis of a number of noisy concrete examples of the leaves of this variety. This creates a one way form of a leaf of each class, free from their concrete implementations, i.e., the "Eidos" of these images (in the sense of Plato) is a prototype or archetype (in the Jungian sense) of the images

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 matrices of knowledge. A well-developed and available Toolkit of the ASK-analysis which is an intellectual system called "Eidos" (created by E. V. 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

To increase the validity of conclusions about the impact of the environment on the quality of life we need to move from generalities to the application of quantitative modeling techniques. This requires the joint processing environmental databases and databases depicting various aspects of quality of life. These databases are needed to be handled not just together, but in a comparable form approach, including technology and methodology, and to be implemented in one software system. For the first time in the environmental studies, it has been planned to be done with the application of the ASK-analysis and the system called "Eidos". Previously, the authors have set the goals and the objectives of the application of the ASK-analysis to study the effect of environmental factors on the quality of life of the population of the region. The article reveals the urgency of this study; the requirements for the method of conducting the study, the choice of a research method; as well as the contents of the objectives of the study. The proposed work is at the edge of mathematical ecology and mathematical modeling of quality of life (which refers to mathematical and instrumental methods of Economics), resulting from expected synergies, consists in obtaining of new knowledge in these fields that is relevant to both ecology and economy. This knowledge will make it more meaningful and justified for the application of environmental criteria and concepts in the economy. This work contains a description of the basic data sources for the study of the impact of environmental factors on various aspects of quality of life of the region's population, the source data for this study, the characteristics of the original data, substantiation of requirements to the method of research, choosing research methods appropriate to requirements; the development of steps to achieve the objectives of the study

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

The problem of forming of innovate elements of intelligence service of corporate management is dis-cussed on terms of knowledge economics. New trends and conditions of corporation’s development as reflection of economics trends are picked out. The system of measures pointed at stimulation of producing of future intelligence foundation and me-chanisms of such producing are suggested

In complex multiparameter technical systems there are numerous and varied physical processes which, on the one hand, have a significant impact on the performance of those systems, and on the other hand, it is extremely difficult amenable to description in the form of meaningful analytical models based on equations, because these models must take into account the specific features of the systems. As a consequence, the development of conceptual analytical models is a "hand-made work" and it is associated with a large number of simplifying assumptions that reduce their versatility and reliability. But there is also another principle of modeling: the construction of phenomenological information models, i.e. models that do not have analytical forms of representation that describes the simulated system superficially as a "black box". Such models can be built directly based on empirical data and with the appropriate software it can be a standard technology much faster and much less time consuming than developing meaningful analytical models. On the other hand, the phenomenological information model can be sufficient to determine the rational design features and parameters of the modes of operation of complex technical systems. Besides, such phenomenological models can be viewed as the first stage in the development of meaningful analytical models. It is proposed to use a new universal innovative method of artificial intelligence for creating phenomenological models of complex technical systems: automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit which is a universal cognitive analytical system called "Eidos". In the system of "Eidos" we have implemented a software interface that provides direct input into the system large amounts of empirical data from an Excel file. The system of "Eidos" can directly (based on empirical (experimental) data) calculate how much information about the results of the technical systems is contained in the facts of possessing certain specific structural elements and certain values of the parameters modes of its work. On this basis, the system provides research-based and appropriate recommendations for the rational choice of design features and parameters of the operation modes of the simulated system

To increase the validity of conclusions about the impact of environment on quality of life we need to move from generalities to the application of quantitative modeling techniques. This requires the joint processing environmental databases and databases depicting various aspects of quality of life. These databases need to be handled not just together, but in a comparable form approach, technology and methodology; and we need to implement them in one software system. For the first time in the environmental studies it has been planned to be done with the application of the ASK- analysis and the system called "Eidos". In this work, we set the goals and the objectives of the application of the ASK-analysis to study the effect of environmental factors on the quality of life of the population of the region. The article reveals the urgency of this study; the requirements for the method of conducting the study, the choice of research method, the contents of the objectives of the study. The proposed work is at the edge of mathematical ecology and mathematical modeling of quality of life (which refers to mathematical and instrumental methods of Economics), resulting from expected synergies, consists in obtaining of new knowledge in these fields, that is relevant to both ecology and economy. This knowledge will make it more meaningful and justified for the application of environmental criteria and concepts in the economy

In the article the problem about appointments (backpacks) in various and more general statements is shortly examined: 1) the size of cargoes and volumes of backpacks; 2) the various utility of cargoes depending only from cargoes, but identical to all backpacks, and various expenses for their placing, and also restrictions on the resources, connected with backpacks, spent for cargoes at their placing; 3) various utility of each cargo for different backpacks, various expenses for placing of cargoes and various resources of owners of backpacks. The technology and an application technique of systemic-cognitive analysis and its toolkit - the "Eidoses" system for the solution of generalization of non-meeting in the literature before problem of the appointments, providing automatic forecasting of degree of utility of cargoes for different backpacks on the basis of signs of cargoes by the decision of a problem of recognition with application of the model based on base of precedents