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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Computer-Based Business Games' Result Analysis

Information Theories & Applications. 2017. Vol. 24. No. 3. P. 83–99.
Vikentyeva O., Deryabin A. I., Shestakova L. V., Красилич Н. В.

Given research considers the Business Intelligence analysis of computer based business games. A tool environment, called Competence-based Business Game Studio (CBGS), is applied for business games’ design and development. An approach is proposed that allows designing and conducting business games based on enterprises business processes. Consequently, CBGS may be considered as a universal product with respect to domain. Competence-based Business Game Studio consists of several subsystems. The Analysis Subsystem makes possible to exclude human factor from the process of player skills and knowledge assessment, the latter are scored employing an automated approach based on formal parameters. This paper defines the source data for Analysis Subsystem as well. Data warehouse containing multidimensional data marts was designed for the evaluation of player’s competency. Two info-cubes were developed: the first info-cube is proposed to assess players’ actions, the second one - to identify bottlenecks within business processes using efficiency assessment of Decision Making Points. In order to collect information about players Complex Analysis methods are proposed for implementation: such as aggregation, navigation and filtering. To evaluate business game quality three types of Decision Making Points should be distinguished. Decision Making Points completed by players are allocated to the aforementioned types using cluster analysis (PAM-algorithm) and supervised classification.

Research target: Computer Science
Priority areas: IT and mathematics business informatics
Language: English
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Keywords: competenciesdata warehouseactive learning methodsbusiness-gamebusiness intelligence methods
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