The sphere of scientific interests
of
“The state international organization
"Academy of cognitive natural sciences"”
(“SIO "ACNS"”)
includes:
“The information technologies”,
“The informatization of information environments
of the educational establishments”,
“The architectures of the adaptive means of training”,
“(Cognitive) informatics”,
“(Cognitive)
psychology”,
“(Cognitive)
linguistics”,
“Economic theory”,
“The financial analysis,
monetary circulation and credit”,
“Theoretical mechanics”,
“Physical chemistry”
and “Molecular biology”.

I. The President of “SIO "ACNS"”
were developed the dissertation
“The environment of automated training
with the properties of adaptation
based on the cognitive models”
on the competition of scientific degree
of the candidate of technical sciences
on spec. 05.13.01 – “The system analysis,
control and information processing”,
the dissertation
“The cognitive modeling technology
for the system analysis
of the information-educational environments”
on the competition of scientific degree
of the doctor of technical sciences
on spec. 05.13.01 – “The system analysis,
control and information processing”
and 19.00.02 – “Psycho-physiology of perception”
(19.00.03 – “Psychology of work,
engineering psychology and ergonomics”)
and the methodical support
of the discipline “Informatics”,
the experimental
researches of the information environment
of automated training were carried out,
it was succeeded to carry out the essential contribution
in to the development of technics (theory and practice).

At present moment of time “SIO "ACNS"”
are received the following
theoretical and practical
scientific results in the field
of technics, technology
and the (micro-) system analysis:

1.1. The environment of automated training
with the properties of adaptation
based on the cognitive models,
including:

· the modifications in the organization
of the information-education environment
based on the parametrical
cognitive models block;

· the modifications in the technology
of the information-education environment
based on the parametrical
cognitive models block.

1.2. The cognitive modeling technology
for the (micro-) system analysis
of the information-education environment
and
the increase of efficiency
of functioning
of the automated training system
with the properties of adaptation
based on the parametrical
cognitive models block,
including:

· the technique of its use;

· the ways (models) of representation
of the structure of the cognitive model;

· the algorithm of formation
of the structure of the cognitive models;

· the technique of research of the parameters
of the cognitive model of the subject of training;

· the technique of research of the parameters
of the cognitive model of the means of training;

· the algorithm of processing
of a posteriori data of the testing
of the level of residual knowledge
of the contingent of trainees
and the diagnostics of the individual
features of the contingent of examinees.

1.3. The parametrical cognitive models block
as the information basis
of the (micro-) system analysis
of the information-educational environment,
including:

· the cognitive model of the subject of training;

· the cognitive model of the means of training.

1.4. The structure of the complex of programs
as the means of automation
of the (micro-) system analysis
of the information-educational environment
and
the increase of efficiency
of functioning
of the automated training system
with the properties of adaptation
based on the cognitive models,
including:

· the adaptive means of training
(electronic textbook,
electronic laboratory practical work,
electronic dean’s office
and electronic library)
based on the adaptive representation
of information fragments
processor;

· the basic diagnostic module;

· the applied diagnostic module.

1.5. The statistical substantiation
of a posteriori data
of the (micro-) system analysis
of the information-educational environment,
including:

· the features of the primary processing
of a posteriori data;

· the descriptive statistics
of a posteriori data
of research
of the physiological, psychological
and linguistic portraits
of the
cognitive models;

· the choice of the methods
of the statistical analysis
of a posteriori data
of a series of experiments;

· the calculation of the coefficients (indicators)
of correlation;

· the calculation of the coefficients (indicators)
of covariation;

· the results of the dispersion analysis;

· the results of the regression analysis;

· the results of the discriminant analysis;

· the results of the multidimensional scaling;

· the results of the hierarchical
cluster analysis
;

· the results of the factor analysis.

1.6. The generalized results of the dynamics of change
of the resultativity of functioning
of the information-educational environment
and the increase of efficiency
of functioning
of the automated training system
with the properties of adaptation
based on the parametrical
cognitive models block.

The conception of integration
of the system of automated training
with the properties of adaptation
based on the cognitive
models
in to the information
-educational environment
of the establishment of the system of education
of the modern country was developed.

II. The President of “SIO "ACNS"”
was developed the dissertation
“The cognitive modeling technology
for the financial analysis and audit of the organization”
on the competition of scientific degree
of the doctor of economic sciences
on spec
. 08.00.10 – “Finance,
monetary circulation and credit”,
the researches
of the enterprise and (credit) organization
were carried out,
it was possible to made the essential contribution
into the development of economics (theory and practice).

At present moment of time “SIO "ACNS"”
are received the following
theoretical and practical
scientific results in the field
of economics and the (micro-)
financial analysis (and audit):

2.1. The vertically and horizontally integrated
organizational structures
of the enterprise and (credit) organization
as the managing subjects
of the economic system of the country.

2.2. The cognitive modeling technology
for the (micro-) financial analysis (and audit)
of the enterprise and (credit) organization,
including:

· technique of its use;

· the ways (models) of representation
of the structure of the cognitive model;

· the algorithm of formation
of the structure of the cognitive model;

· the technique of formation
of the normative-legal basis
of the (micro-) financial analysis (and audit)
of the enterprise and (credit) organization;

· the technique of formation
of the information basis
of the (micro-) financial analysis (and audit)
of the enterprise and (credit) organization;

· the technique of additional verification
of the information basis
of the (micro-) financial analysis (and audit)
of the enterprise and (credit) organization;

· the technique of research of the parameters
of the cognitive model for the vertical
financial analysis (and audit);

· the technique of research of the parameters
of the cognitive model for the horizontal
financial analysis (and audit);

· the technique of research of the parameters
of the cognitive model for the trend
financial analysis (and audit)
based on the analytical
coefficients system;

· the algorithm of processing
of a posteriori
data
of the vertical, horizontal and trend
financial analysis (and audit),
and also the estimation of the efficiency
of functioning
of the enterprise and (credit) organization
based on the primary registers
of accounting
and financial analysis.

2.3. The parametrical cognitive models block
as the information basis
of the (micro-) financial analysis (and audit)
of the enterprise and (credit) organization,
including:

· the cognitive model for the vertical
financial analysis (and audit)
of the enterprise and (credit) organization;

· the cognitive model for the horizontal
financial analysis (and audit)
of the enterprise and (credit) organization;

· the cognitive model for the trend
financial analysis (and audit)
of the enterprise and (credit) organization
based on the analytical
coefficients system.

2.4. The structure of the complex of programs
as the means of automation
of the (micro-) financial analysis (and audit)
of the enterprise and (credit) organization,
including:

· the means of automation of formation
of the working plan of accounts
based on the normative
-regulated
plan of accounts of accounting
of the enterprise and (credit) organization;

· the means of automation of formation
of the accounting balance
and the report about profits and losses
of the enterprise and (credit) organization;

· the means of automation of the vertical
financial analysis (and audit)
of the enterprise and (credit) organization;

· the means of automation of the horizontal
financial analysis (and audit)
of the enterprise and (credit) organization;

· the means of automation of the trend
financial analysis (and audit)
of the enterprise and (credit) organization
based on the analytical
coefficients system.

2.5. The statistical substantiation
of a posteriori data
of the (micro-) financial analysis (and audit)
of the enterprise and (credit) organization,
including:

· the features of the primary processing
of a posteriori data;

· the descriptive statistics
of a posteriori data
based on the cognitive
models
for the vertical, horizontal
and trend financial analysis (and audit)
based on the analytical
coefficients system;

· the choice of the methods
of the statistical analysis
for the processing of a posteriori data;

· the calculation of the coefficients (indicators)
of correlation;

· the calculation of the coefficients (indicators)
of covariation;

· the results of the dispersion analysis;

· the results of the regression analysis;

· the results of the discriminant analysis;

· the results of the multidimensional scaling;

· the results of the hierarchical
cluster analysis
;

· the results of the factor analysis.

2.6. The generalized results of the dynamics of change
of the resultativity
of the (micro-) financial analysis (and audit)
and the increase of efficiency
of the financial-economy activity
of the enterprise and (credit) organization.

The conception
of the (micro-) financial analysis (and audit)
of the organizational structure
of the enterprise and (credit) organization
based on the cognitive modeling technology
and the parametrical cognitive models block
was developed.

III. The President of “SIO "ACNS"”
was developed the dissertation
“The cognitive modeling technology
for the complex analysis
of the difficult objects, processes and phenomena:
nuclear polymers”
on the competition of scientific degree
of the doctor of physical-mathematical sciences
on spec
. 05.13.01 – “The system analysis,
control and information processing”
and 01.02.01 – “Theoretical mechanics”
(01.04.15 – “Physics
and technology
of nano-structures,
atomic and molecular physics”
and
02.00.04 – “Physical chemistry”),
the researches
of the difficult objects, processes and phenomena
(the multi-nuclear plasmatic formations

chemical elements) were carried out,
it was possible to made the contribution
into the development of theoretical mechanics
and physics-mathematical sciences
(theory and practice).

At present moment of time “SIO "ACNS"”
are received the following
theoretical and practical
scientific results in the field
of theoretical mechanics
and physical-mathematical sciences
(the genesis and practical use
of the cognitive
circle, cognitive disc,
cognitive cylinder, cognitive cone,
cognitive
sphere,
one
-, two-, three-, fore-, five- and more
cognitive sphere
and other difficult cognitive models):

3.1. The cognitive circle, cognitive disc,
cognitive cylinder, cognitive cone,
cognitive sphere,
one-, two-, three-, fore-, five- and more
cognitive sphere
and other difficult cognitive models
for the (micro-) complex analysis
of the difficult objects, processes and phenomena.

3.2. The cognitive modeling technology
for the (micro-) complex analysis
based on the cognitive circle,
cognitive disc, cognitive cylinder,
cognitive cone, cognitive sphere,
one-, two-, three-, fore-, five- and more
cognitive sphere
and other difficult cognitive models,
including:

· the technique of its use;

· the ways (models) of representation
of the structure of the cognitive circle,
cognitive disc, cognitive cylinder,
cognitive cone, cognitive sphere,
one-, two-, three-, fore-, five- and more
cognitive sphere
and other difficult cognitive models
;

· the algorithm of formation
of the structure of the cognitive circle;

· the algorithm of formation
of the structure of the cognitive disc;

· the algorithm of formation
of the structure of the cognitive cylinder;

· the algorithm of formation
of the structure of the cognitive cone;

· the algorithm of formation
of the structure of the cognitive sphere;

· the algorithm of formation
of the one-, two-, three-, fore-, five- and more cognitive sphere
and other difficult cognitive models;

· the technique of formation
of the normative-technical basis
of the cognitive circle, cognitive disc,
cognitive cylinder,

cognitive cone, cognitive sphere,
one-, two-, three-, four-, five- or more
cognitive sphere
and other difficult cognitive models;

· the technique of formation
of the information basis
of the cognitive circle, cognitive disc,
cognitive cylinder,
cognitive cone, cognitive sphere,
one-, two-, three-, four-, five- or more
cognitive sphere
and other difficult cognitive models;

· the technique of the additional check
of the information basis
of the cognitive circle, cognitive disc,
cognitive cylinder,
cognitive cone, cognitive sphere,
one-, two-, three-, four-, five- or more
cognitive sphere
and other difficult cognitive models
for the (micro-) complex analysis
;

· the technique of research of the parameters
of the cognitive model
based on the cognitive circle;

· the technique of research
of the parameters of the cognitive model
based on the cognitive disc;

· the technique of research
of the parameters of the cognitive model
based on the cognitive cylinder;

· the technique of research
of the parameters of the cognitive model
based on the cognitive cone;

· the technique of research
of the parameters of the cognitive model
based on the cognitive sphere;

· the technique of research
of the parameters of the cognitive model
based on the one-, two-, three-, fore-, five-
and more cognitive sphere
and other difficult cognitive models;

· the algorithm of processing
of a posteriori data
of the (micro-) complex analysis
of the difficult objects, processes and phenomena.

3.3. The parametrical cognitive models block
as the information basis
of the (micro-) complex analysis
of the difficult objects, processes and phenomena,
including:

· the cognitive model
based on the cognitive circle;

· the cognitive model
based on the cognitive disc;

· the cognitive model
based on the cognitive cylinder;

· the cognitive model
based on the cognitive cone;

· the cognitive model
based on the cognitive sphere;

· the cognitive model
based on the one-, two-, three-, fore-, five-
and more cognitive sphere
and other difficult cognitive models.

3.4. The structure of the complex of programs
as the means of automation
of the (micro-) complex analysis
of the difficult objects, processes and phenomena,
including:

· the means of automation
of the formation and research
based on the cognitive circle;

· the means of automation
of the formation and research
based on the cognitive disc;

· the means of automation
of formation and research
based on the cognitive cylinder;

· the means of automation
of formation and research
based on the cognitive cone;

· the means of automation
of formation and research
based on the cognitive sphere
;

· the means of automation
of formation and research based on
the one-, two-, three-, fore-, five- and more
cognitive sphere
and other difficult cognitive models;

· the means of automation
of the (micro-) complex analysis
of the difficult objects, processes and phenomena
based on the cognitive circle;

· the means of automation
of the (micro-) complex analysis
of the difficult objects, processes and phenomena
based on the cognitive disc;

· the means of automation
of the (micro-) complex analysis
of the difficult objects, processes and phenomena
based on the cognitive cylinder;

· the means of automation
of the (micro-) complex analysis
of the difficult objects, processes and phenomena
based on the cognitive cone;

· the means of automation
of the (micro-) complex analysis
of the difficult objects, processes and phenomena
based on the cognitive sphere;

· the means of automation
of the (micro-) complex analysis
of the difficult objects, processes and phenomena
based on the one-, two-, three-, fore-, five-
and more cognitive sphere
and other difficult cognitive models.

3.5. The statistical substantiation
of a posteriori data
of the
(micro-) complex analysis
of the difficult objects, processes and phenomena,
including
:

· the features of the primary processing
of a posteriori data;

· the descriptive statistics
of a posteriori data

based on the cognitive circle,
cognitive disc, cognitive cylinder,
cognitive cone, cognitive sphere,
one-, two-, three-, fore-, five- and more
cognitive sphere
and other difficult cognitive models;

· the choice of the methods
of the statistical analysis
for the processing of a posteriori data;

· the calculation of the coefficients (indicators)
of correlation;

· the calculation of the coefficients (indicators)
of covariation;

· the results of the dispersion analysis;

· the results of the regression analysis;

· the results of the discriminant analysis;

· the results of the multidimensional scaling;

· the results of the hierarchical
cluster analysis
;

· the results of the factor analysis.

3.6. The generalized results of the dynamics of change
of the resultativity (the increase of efficiency)
of functioning of the difficult object,
technological process
(technological step) and phenomenon.
 

The conception
of the
(micro-) complex analysis
of the difficult object, process and phenomena
based on the cognitive modeling
technology was developed.

Appendix

All researches are conducted and financed independently by the author,
any unauthorized use of the presented theoretical and practical scientific results
is counterfeit, as they are the subject of legal protection according to the active legislation in the territory of RF and abroad.

 

In case of the discovering of the similar scientific results at the conferences,
in scientific articles, monographies, books and dissertations
without the indicating of the reference to the author and performer in the person of Vetrov A.N.
it is necessary to report urgently to the listed electronic addresses, by the phone or by the mail.

 

The scientific results
(
technologies, methods and algorithms)

The achieved scientific results
(theoretical and practical)

 

RUS

Text Box: Saint-Petersburg city
Text Box: “Academy of cognitive natural sciences”
Text Box: The Russian Federation
Text Box: The state international organization