The new methods for system-cognitive analysis to identify and present graphical visualization of causal functions from the large dimension empirical data and its software tools - «EIDOS» system are discussed.
In this article application of the method of computerized system-cognitive analysis and its programmatic tooling – system "Eidoses" for detection of cause and effect associations from the trial-and-error data is considered. In the capacity of a toolkit for the formal submission of cause and effect associations cognitive functions are tendered. Cognitive functions represent many-valued interval functions of many arguments in which one various value of function in a various degree match to various value of arguments, and the quantitative standard of this correspondence appears to be the knowledge, i.e. the information about cause and effect associations in the trial-and-error data, beneficial to a goal achievement
This article briefly reviews the classical concept of functional dependence in mathematics, determines the limitations of this concept for adequate modeling of reality and formulates the problem, consisting in search of such generalization of the concept of func-tions, which is more suitable for the adequate reflec-tion of causal relationships in the real domain. Also, it discusses theoretical and practical solving the prob-lem, consisting in: (a) we suggest the universal method of calculating the amount of information in the value of argument about the meaning of the function, i.e. cognitive functions which is independent from the subject area; b) we offer software tools: Eidos intelli-gent system, allowing in practice to carry out these calculations, i.e. to build cognitive functions based on a fragmented noisy empirical data of high dimension. We also offer the concepts of nonreducing, partially and completely reduced direct and inverse, positive and negative cognitive functions and the method of formation of reduced cognitive function, which is a generalization of known weighted least-squares meth-od on the basis of observation the amount of infor-mation in the values of the argument about the values of the functions accounting
The article substantiates the necessity to use factors
that trigger development mechanisms and describe
risks at various stages of the organization's life cycle
in the process of developing organizational structures
for such large social and economic systems as
corporate integrated structures characterized by the
presence of diverse organizations in their structure. A
comparative analysis of approaches to the description
of the life cycle was conducted, as a result of which it
was determined that L. Greiner's model is incomplete
(it describes only the stages of development), and I.
Adizes' model contains a blurred system of factors.
To solve the problems, the model of I. Adizes was
chosen as the basic approach and the characteristics
of the stages of the life cycle of the organizations are
selected. To formalize the factors that trigger the
development mechanisms and describe the risks at
various stages of the life cycle of organizations, a
cognitive analysis and modeling apparatus was
chosen and a corresponding methodology was
developed. The implementation of the methodology
is represented by the example of the first stage of the
organization's life cycle ("Courtship"), which resulted
in the compilation of a list of factors, their mutual
influence on each other, the type of communication,
and the cognitive model. Analysis of the cognitive
model allowed us to determine the key factor that has
the greatest impact on the transition to the next stage
of development
At the present stage, the juvenile legislation of the Russian Federation is going through a period of formation and determination of dominant purpose. The need for the regulation of emerging gaps and inaccuracies was reflected in the overall situation of juvenile delinquency in Russia. By eliminating errors and defects, we solve questions about the future of young and irresponsible people who have made a mistake and need proper correction and education
The study concerns the results of the study of
coenopopulations of the following Fabaceae species:
Medicago falcata, Oxytropis candicans, and
Onobrychis arenaria under conditions of the Middle
Lena River. The study was conducted in Yakutsk
vicinities, 13 km north-east of the city. It is stated that
all the studied coenopopulations are normal. Rather
small values of substitution and recovery indices
evidence certain problems in self-maintaining
processes. The age structure analysis using two age
indices, “delta” and “omega”, allows to classify the
coenopopulations of Medicago falcata, Oxytropis
candicans and Onobrychis arenaria in phytocoenoses
of the Lena River valley as normal young populations.
They were prevailed by juvenile, immature, virginile,
and young reproductive plants
The article gives the results of the study of the texture
of the grapes and biochemical characteristics of red
wine grape varieties of Cabernet Sauvignon, Cabernet
Franc, Merlot, Sapeari, Tsimladar, Pinot Noir for the
production of juice of direct extraction and blending.
The studied varieties in terms of the structure of the
cluster may be divided into three groups of blackpinene
(21.1), Cabernet Franc and Tsimladar (18.7 -
17.5), Cabernet Sauvignon, Merlot, Saperavi (16.5 -
16.8) , and bunches of addition in terms of two groups
- Tsimladar (17.6), Cabernet - Sauvignon and other
(15.6 - 16.4). The structural component of grapes varieties
ranged from 5.2 to 5.9, berry index - from 62.1 to
83.4, the output of the wort from 74.2 to 76.3%. The
content of sugars and acids in the berries of all varieties
is favorable for the production of beverages. The
largest Tartaric acid content was found in the juice of
the varieties of Cabernet Sauvignon, Pinot Black,
malic acid - in the juice of varieties Saperavi, Merlot,
Tsimladar, citric acid - in the juice Tsimladar varieties,
Cabernet Sauvignon, Saperavi. The ratio of tartaric
acid to the content of the apple juice Cabernet Sauvignon
was 2.9: 1, Cabernet Franc 2.6: 1, Pinot Black
2.5: 1, Merlot and Tsimladar 1.6: 1, 1.1 Sapevari: 1.
According to the content of potassium cations, sodium,
magnesium and calcium there were chosen three varieties
of Cabernet Sauvignon and Cabernet Franc. The
lowest content of potassium and magnesium cations
was in the variety of Tsimladar, Sodium – in the varieties
Merlot and Saperavi, calcium – in Saperavi. Excellent
tasting commended for juices was given to
Cabernet Sauvignon, Saperavi, Tsimladar, good – to
Cabernet Franc, Merlot, Pinot black. Best blending
juice obtained by mixing the juice of the grape of the
varieties of Cabernet Sauvignon and Pinot black
70:30, Saperavi and Pinot black 50:50. From the
grapes of produced varieties, we can produce juice and varietal by name ampelographic variety and blended to
extend the range
The promising aspects of clusterization of economy of the border region of Russia – Repulic of Karelia, were presented in this article. Herewith, recommendations of using of experience of Finland in this sphere and for creation of a regional center of development of innovative high-tech clusters, which could provide the integration of the State, science, education and business potential, were given
At the regional level, clusters are considered as balanced
mechanism policy of innovative development
of the area, are favorable conditions for the effective
cooperation of regional actors and institutions of science,
government and business, the development of
various forms of public-private partnerships in the
area of innovation. The article reveals the problems
that currently limit the establishment and development
of clusters in Russia. Considered the clusters
that already exist in Russia around key industry sectors
and selected Russian cities with a high concentration
of activities in the field of research and development
in certain areas, and clusters, the creation of
which is planned in the near future. The classification
of these clusters according to the patterns of development,
geography, directions and purposes of creation
was given. The directions of development of
cluster policy enshrined in the concept of long-term
innovative development of the Russian Federation for
the period up to 2020 were defined. We focus on the
creation and development of cluster structures in the
agricultural sector in the Krasnodar region. In this
connection, the article reflects the main factors contributing
to the creation of a cluster and measures to
be taken by the state for its successful functioning
The article represents the author's view on the issue of
formation of innovative environment in the oil and gas
industry through clustering. The main task of the
author is, on the one hand, clusters’ role justification in
optimization of organizational structure of regional
fuel and energy complex. On the other hand, it is a
justification of the state's functions in ensuring the
intensification of innovation. To solve this complex
problem the author explores the approaches to the
definition of "cluster", adapting existing theories to
clustering of the regional to the oil and gas sector.
There are the structural-logic "Competitive diamond"
Russian oil cluster "and" Competitive diamond "oil
cluster Russia." The author 'classification of
innovations in the energy sector is developed. The
question of revitalization of the state’s efforts to build
a favorable innovation environment was considered
based on several logical promises. The first, public
policy objectives to stimulate investment in innovation
are substantiated. Second, we studied directions of
transformation of the global energy market and their
impact on the economic security of Russia as oil
exporters. Separately, the emphasis is placed on fiscal
policy in the energy sector