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«Modeling of Artificial Intelligence» – international scientific Journal.

ISSN 2312-0355. E-ISSN 2413-7200

Publication frequency – issued 2 times a year.
Issued from 2014.

1 June 25, 2017


Articles and Statements

1. Srpuy G. Gevorkyan, Olga V. Prokhorova
The Development of an Automated System for Conducting Medico-Genetic Counseling of Oncologic Patients

Modeling of Artificial Intelligence, 2017, 4(1): 4-13.
DOI: 10.13187/mai.2017.1.4CrossRef

Abstract:
The work is devoted to the development of a system designed for the diagnostic stage of medico-genetic counselling for oncologic patients. The aim of the work is to use modern software tools to provide data storage and create a user-friendly interface for data entry and access. Practically, there has been created the software that allows the geneticist to work with the data in a quicker and more practical way. Thus, after entering the data about a new patient and saving it in the database, any previously made records can be accessed, the information can be edited and printed out, and genealogic tree can be built automatically. Besides there is the ability to view data about the radiation doses of the population who suffered radiation impact resulting from the nuclear accident at the Chernobyl nuclear power plant. The information about the radiation doses of the population and the local density of contamination in different regions can be represented graphically in the form of diagrams. The database was created by means of the MySql database management system and the user interface was implemented as a web application in PHP v5.2 language.

URL: http://ejournal11.com/journals_n/1499256756.pdf
Number of views: 130      Download in PDF


2. Hagop Kechejian, Victor K. Ohanyan, Vardan G. Bardakhchyan
Curran's Method for Approximating Arithmetic Average Option for Several Futures

Modeling of Artificial Intelligence, 2017, 4(1): 14-20.
DOI: 10.13187/mai.2017.1.14CrossRef

Abstract:
In this paper we calculate the price of the arithmetic average Asian option on several consecutive future contracts. The calculations are made using the method introduced by Curran, and the underlying model for future prices proposed by Andersen. His model describes future prices by Stochastic Differential Equations with several coefficients, which are to be evaluated for each case, generally by model calibration. We use least squares principle to do that, taking the sum of squared differences of real values and the values suggested by model to minimum. Curran’s method is based on the order of geometric and arithmetic means, and to calculate value of options takes expectation of conditional expectation of the considered derivative. Splitting the integral into two parts it evaluates explicitly one of them, and approximates the other. For our case new structure of the options and the underlying assets, requires review of the formulas. In the paper we derive the formulas for this case, and use them for calculating the value of Asian option. In the considered example derivative is based on 4 future contracts with 15, 30, 30, 15 days of engagement in Asian option.

URL: http://ejournal11.com/journals_n/1499256863.pdf
Number of views: 133      Download in PDF


3. Victoria A. Rudenko, Sergey A. Aivazyan, Mikhail Y. Afanasyev
Specification of a Stochastic Production Function Model in the Extended Class of Stochastic Frontier Models

Modeling of Artificial Intelligence, 2017, 4(1): 21-28.
DOI: 10.13187/mai.2017.1.21CrossRef

Abstract:
Copulas are being successfully applied for derivation of estimates in the models related to stochastic production functions. They can be used for handling of panel data, for the analysis of models with multiple outputs and for improvement of estimates in classical models. The research proposes an algorithm for specification of extended class of models for stochastic production functions where a possible dependence between the error components is assumed. To describe this dependence we consider two functions: normal copula and Frank copula. Simulated data are used to prove the necessity to take into account potential dependence between the error components and to illustrate the importance of considering several types of copulas for different problems related to estimation of technical efficiency. In addition we analyze an influence of the choice of copula type on estimates of main parameters in the model and propose possible problems where classical models for stochastic production function can be applied.

URL: http://ejournal11.com/journals_n/1499256921.pdf
Number of views: 112      Download in PDF


4. Simon Zh. Simavoryan, Arsen R. Simonyan, Elena I. Ulitina, Rafik A. Simonyan, Ellina A. Pilosyan, Nadezhda A. Kornienko
Search Fuzzy Image of the Attacker Based on the Use of Automatic Classification Methods

Modeling of Artificial Intelligence, 2017, 4(1): 29-38.
DOI: 10.13187/mai.2017.1.29CrossRef

Abstract:
Work is devoted to development of methods of search of an indistinct image of the malefactor on the basis of use of methods of automatic classification. This type of search is used by initial search when the inquiry is set in the form of the description of signs of malicious action. Search is carried out on data from the specialized knowledge base on malicious actions (templates) and the knowledge base on regular situations and values of their admissible characteristics. Methods of automatic classification meet as well other names: objective classification, splitting, taxonomy, diagonalization of matrixes of communication, etc. When using these methods, given about malicious actions, join in the knowledge base as an image (n + 1) member malicious action. After that some algorithm of automatic classification which is carrying out splitting the knowledge base into groups of images of malicious actions "uniform" somewhat is put in action. As result of initial search of an image of the malefactor system the images of malefactors carried by an algorithm of automatic classification in the same group, as an image of the malefactor for whom the image of malicious action is looked for are given. For increase in a noise stability of the procedure of initial search of an indistinct image of the malefactor it is possible to carry out in parallel splitting on various algorithms of automatic classification then as an indistinct image of the malefactor to give association (for increase in completeness of initial search), crossing (for completeness of accuracy), or composition of subsets in which has been carried (n + 1) member an image from the knowledge base.

URL: http://ejournal11.com/journals_n/1499256987.pdf
Number of views: 120      Download in PDF


5. Oleg V. Tikhanychev
Decision Making Support Systems: A New Classification

Modeling of Artificial Intelligence, 2017, 4(1): 39-45.
DOI: 10.13187/mai.2017.1.39CrossRef

Abstract:
Principles of classification of the systems of support of decision-making are analyzed. It offers to specify determination the "Intellectual decision-making support system". It is found out that existent classification of the systems of support of decision-making is inadequate to the real situation. It slows the process of creation and introduction in practical work of the systems of support of making decision. To such type it offers to take the systems, providing forming of managing influences in default of decision in existent terms. For providing of classification of the decision-making support systems the process of acceptance of administrative decisions is described in a formal kind. Concepts are entered "small" and "large" decision-making cycles. Within the framework of clarification of classification offered instead of the class used presently "in relation to an user level", to apply a class "on functional possibilities of the system", that will consist of the informative, calculation-informative and intellectual systems.

URL: http://ejournal11.com/journals_n/1499257046.pdf
Number of views: 148      Download in PDF


6. V.Ya. Tsvetkov
Informational Intelligent Management

Modeling of Artificial Intelligence, 2017, 4(1): 46-54.
DOI: 10.13187/mai.2017.1.46CrossRef

Abstract:
The article introduces a new type of management information-intelligent management. The article reveals the content of intellectual management based on the semiotic approach. The article describes the content of the semiotic system as the basis of management. The article introduces a trinitarian model of the information situation. The article describes the static and dynamic components of the semiotic system. The article reveals the relationship between information and situational management. The article describes the content of information intellectual management.

URL: http://ejournal11.com/journals_n/1499257098.pdf
Number of views: 118      Download in PDF


7. Alexandr V. Volkov, Irina P. Lopatina, Arsen R. Simonyan
System Model of Touristic Clusters (Architecture, Development, Interdependence)

Modeling of Artificial Intelligence, 2017, 4(1): 55-69.
DOI: 10.13187/mai.2017.1.55CrossRef

Abstract:
In this paper, the possible architecture of tourist clusters is studied and justified. Further, possible stages of development and the relationship of clusters with local and federal authorities are given. All work is based on ideas and methods of system theory, which is one of the main sections of mathematical and simulation modeling. In the work, at this stage there are no exact mathematical formulas and methods of computer modeling, but the foundations for further development of methods of mathematical systems theory and artificial intelligence, for modeling the process of clusterization in tourism are laid.

URL: http://ejournal11.com/journals_n/1499257150.pdf
Number of views: 119      Download in PDF


8.
full number
URL: http://ejournal11.com/journals_n/1499257178.pdf
Number of views: 113      Download in PDF





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