Training and retraining of experts oriented to the work in the Analytical Centers requires the use of modern training technologies. It is promising to create and integrate into the Analytical Center structure an Intelligent Training System that provides dynamic experts training in a mixed (offline / online) information space, taking into account their motivation, level of education, information and communication skills and professional interests

Modernization of Russia determine the need for full integration of domestic economic and political systems into global processes. In this regard, the study of the problem of Think Tanks is particularly relevant. The use of comprehensive experience of Think Tanks is possible in the development of management strategies, the development of concepts and programs, socio-economic policy, the organization of political and economic consulting in our country

Methods of MES construction concept for industrial production of processing type are considered: formation of its content, requirements to problems solved within it, strategy of creation planning, and MES components implementation.

This paper considers the continuous-time coordination model of certain characteristics in multiagent systems, where the corresponding Laplace matrix is diagonalizable and has zero prime eigenvalue. We demonstrate that, similarly to the discrete-time coordination model, the matrix expressing the limit solution of the system of differential equations meeting the initial conditions represents the eigenprojector of the Laplace matrix.

The semantic interpretation of cognitive models helps to improve the quality of networked group decision-making processes. The consideration of illogical, uncaused factors’ relationships of cognitive models is particular complexity. The present work is aimed constructing an approach of verifying factors and their mutual relationships in the cognitive models on the base of Big Data analyzing under both logical and uncaused factors’ relationships. The paper also shows the possibility of distorting the semantic interpretation of cognitive models because of discrete data processing. The application of resonance-analog mechanisms for constructing semantic interpretations for modeling is substantiated