The sphere of scientific interests
of “The SRI "SFA CMT"
of "The RA(N)S" named after V.N. Veniaminov”
includes “The information technologies”,
“The informatisation of information environments
of educational organizations”,
“Architecture of adaptive means of training”,
“(Cognitive)
computer science”,
“(Cognitive)
psychology”,
“(Cognitive)
linguistics”,
“Economics theory”,
“The financial analysis, money and credit”,
“Theoretical mechanics”,
“Physics, chemistry”
and “Molecular biology”.

The director of “The SRI "SFA CMT"
of "The RA(N)S" named after V.N. Veniaminov”
has develop the dissertation
“The environment of automated training system
with properties of adaptation
based on cognitive models”
on the scientific degree
of 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 methodical maintenance
of discipline "Computer science",
researches of information environment
of the automated training system
was possible to made
the essential contribution to development
of “Technics” (theory and practice).

I. At present “The SRI "SFA CMT"
of "The RA(N)S" named after V.N. Veniaminov”
are received the following
theoretical and practical
scientific results in the field
of “Technics”, “Technology”
and “The system analysis”.

1.1. The environment of automated training system
with properties of adaptation
based on cognitive models:

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

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

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

· technique of its use;

· ways of representation
of cognitive models structure;

· algorithm of cognitive models formation;

· technique of parameters research
of cognitive models of subject of training;

· technique of parameters research
of cognitive models of means of training;

· algorithm of processing of a posteriori
results of testing.

1.3. The parametrical cognitive models block
as information base
of the (microscopical) system analysis
of information-education environment:

· cognitive model of subject of training;

· cognitive model of means of training.

1.4. The complex of programs for automation
of the (microscopical) system analysis
of information-education environment
of automated training system
with properties of adaptation
based on cognitive models, including:

· automated means of training
(electronic textbook)
based on adaptive representation
of information fragments processor;

· basic diagnostic module;

· applied diagnostic module.

1.5. The statistical substantiation
of a posteriori data processing
of the (microscopical) system analysis:

· conception of a posteriori data processing;

· descriptive statistics of a posteriori data
represented in physiological, psychological
and linguistic portraits
of parametrical
cognitive models;

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

· calculation of correlation parameters;

· conception of the dispersion analysis;

· conception of the regression analysis;

· conception of the discriminant analysis;

· conception of the multivariate scalling;

· conception of the hierarchical claster;

· conception of the factor analysis.

1.6. The generalised results of dynamics of change
of productivity of functioning
of information-educational environment
and increase of efficiency
of automated training system
based on parametrical
cognitive models block.

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

The director of “The SRI "SFA CMT"
of "The RA(N)S" named after V.N. Veniaminov”
was develop the dissertation
“Cognitive modeling technology
for the financial analysis and audit
of (credit) organization”
on the scientific degree
of doctor of economical sciences
on spec
. 08.00.10 – “Finance, monetary circulation
and credit” were produced;
and also researches
of enterprise and (credit) organization,
was possible to made
the essential contribution
to development of “Economics” (theory and practice).

II. At present of “The SRI "SFA CMT"
of "The RA(N)S" named after V.N. Veniaminov”
are received the following
theoretical and practical
scientific results in the field
of “Economics”
and “The financial analysis and audit”.

2.1. The vertical and horizontal integrated
organizational structures
of (credit) organization and enterprise
as subjects of economical system of the country.

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

· technique of its use;

· ways of representation
of cognitive models structure;

· algorithm of cognitive models formation;

· technique of forming information basis
for the financial analysis and audit
of enterprise and (credit) organization;

· technique of forming standard-law basis
for the financial analysis and audit
of enterprise and (credit) organization;

· technique of additional verification
of information basis
for the financial analysis and audit
of enterprise and credit organization;

· technique of parameters research
of cognitive model for the vertical
financial analysis;

· technique of parameters research
of cognitive model for the horizontal
financial analysis;

· technique of parameters research
of cognitive model for the trend
financial analysis
based on analytical coefficients;

· algorithm of processing a posteriori results
of the vertical, horizontal and trend
financial analysis,
(and also testing of residual knowledge level
of contingent trained and diagnostics
of examinees specific features).

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

· cognitive model for the vertical
financial analysis;

· cognitive model for the horizontal
financial analysis;

· cognitive model for the trend
financial analysis
based on analytical coefficients system.

2.4. The complex of programs for automation
of the financial analysis
of enterprise and (credit) organization,
including:

· automation means of forming
of working plan of accounts
based on normative
-regulated plan
of accounts of accounting;

· automation means of forming
of accounting balance
and report on profits and losses
of organization;

· automation means of the vertical
financial analysis of organization;

· automation means of the horizontal
financial analysis of organization;

· automation means of the trend
financial analysis of organization
based on analytical coefficients system.

2.5. The statistical substantiation
of a posteriori data processing
of the financial analysis:

· conception of a posteriori data processing;

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

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

· calculation of correlation parameters;

· conception of the dispersion analysis;

· conception of the regression analysis;

· conception of the discriminant analysis;

· conception of the multivariate scalling;

· conception of the hierarchical claster;

· conception of the factor analysis.

2.6. The generalised results of change
of increases efficiency of enterprise
and (credit) organization dynamics.

The conception of the financial analysis
of enterprise and (credit) organization
organizational structure
based on cognitive modeling technology
was developed.

The director of “The SRI "SFA CMT"
of "The RA(N)S" named after V.N. Veniaminov”
was develop the dissertation
“Cognitive modeling technology
for the complex analysis
of difficult objects, processes and phenomena”
on the scientific degree of doctor
of physical-mathematical sciences
on spec
. 01.02.01 – “The theoretical mechanics”;
researches of difficult objects,
processes and phenomena
was possible to made
the essential contribution to development
of “Theoretical mechanics”
and “Physics-mathematical sciences”
(theory and practice).

III. At present “The SRI "SFA CMT"
of "The RA(N)S" named after V.N. Veniaminov”
are received the following scientific
and practical results
in the field of “Theoretical mechanics”
and “Physical-mathematical sciences”
(genesis and practical use of cognitive
circle,
cognitive disc, cognitive cylinder,
cognitive cone and cognitive
spheres).

3.1. The cognitive cycle, cognitive disc,
cognitive cylinder, cognitive cone
and cognitive sphere,
one-, two-, tree-, fore-, five- and more
cognitive sphere for the complex analysis
of difficult objects, processes and phenomena.

3.2. The cognitive modeling technology
for the complex analysis
based on cognitive cycle, cognitive disc,
cognitive cylinder, cognitive cone,
cognitive sphere,
one-, two-, tree-, fore-, five- and more
cognitive sphere, includes:

· technique of its use;

· ways of representation
of cognitive cycle, cognitive disc,
cognitive cylinder, cognitive cone,
cognitive sphere,
one-, two-, tree-, fore-, five- and more
cognitive sphere structures;

· algorithm of cognitive cycle formation;

· algorithm of cognitive disc formation;

· algorithm of cognitive cylinder formation;

· algorithm of cognitive cone formation;

· algorithm of cognitive sphere formation;

· algorithm of one-, two-, tree-, fore-, five-
and more cognitive sphere formation;

· technique of parameters research
of cognitive model based on cognitive cycle;

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

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

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

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

· technique of parameters research
of cognitive model
based on one-, two-, tree-, fore-, five- and more
cognitive sphere;

· algorithm of processing a posteriori results
of the complex system analysis
of difficult objects, processes and phenomena.

3.3. The parametrical cognitive models block
as information basis
of the complex analysis, including:

· cognitive model
based on cognitive cycle;

· cognitive model
based on cognitive disc;

· cognitive model
based on cognitive cylinder;

· cognitive model
based on cognitive cone;

· cognitive model
based on cognitive sphere;

· cognitive model
based on one-, two-, tree-, fore-, five- and more
cognitive sphere.

3.4. The complex of programs for automation
of the complex analysis
of difficult objects, processes and phenomena,
including:

· automation means
for cognitive cycle
forming and research;

· automation means
for cognitive disc
forming and research;

· automation means
for cognitive cylinder
forming and research;

· automation means
for cognitive cone
forming and research;

· automation means
for cognitive sphere
forming and research
;

· automation means
for one-, two-, tree-, fore-, five- and more
cognitive sphere
forming and research;

· automation means
for the complex analysis
of difficult objects, processes and phenomena
based on cognitive cycle;

· automation means
for the complex analysis
of difficult objects, processes and phenomena
based on cognitive disc;

· automation means
for the complex analysis
of difficult objects, processes and phenomena
based on cognitive cylinder;

· automation means
for the complex analysis
of difficult objects, processes and phenomena
based on cognitive cone;

· automation means
for the complex analysis
of difficult objects, processes and phenomena
based on cognitive sphere;

· automation means
for the complex analysis
of difficult objects, processes and phenomena
based on one-, two-, tree-, fore-, five- and more
cognitive sphere.

3.5. The statistical substantiation
of a posteriori data processing
of the complex system analysis:

· features of a posteriori data preprocessing;

· descriptive statistics of a posteriori data
represented in parametrical cognitive models
based on cognitive cycle, cognitive disc,
cognitive cylinder, cognitive cone,
cognitive sphere, one-, two-, tree-, fore-, five-
and more cognitive sphere
;

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

· calculation of correlation coefficients;

· conception of the dispersion analysis;

· conception of the regression analysis;

· conception of the discriminant analysis;

· the conception of the multivariate scale;

· the conception of the hierarchical claster;

· the conception of the factor analysis.

3.6. The generalized results of dynamics of change
of productivity (of increases efficiency)
of functioning of difficult object,
technological process
(technological step) and phenomena.
 

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

Appendix 1

All author’s researches are carried out and financed independently, any illegal use of the presented theoretical and practical
scientific results is plagiarism, because of all rights reserved and approved
by law on the territory of The Russian Federation
and abroad.

 

In a case of the analogous scientific results on conferences,
in the scientific articles, monographies, books and dissertations
without references to the author and executor Vetrov A.N.
it is necessary to inform urgently
to E-mails, to phone or by post.

 

The scientific results
(
technologies, methods and algorithms)

The achieved scientific results
(theoretical and practical)

 

RUS

Íàäïèñü: of “The Russian academy of (natural) sciences” named after V.N. Veniaminov 
Íàäïèñü: “System and financial analysis 
based on cognitive modeling technology”
Íàäïèñü: “Academy of cognitive natural sciences”
Íàäïèñü: The scientific research institute