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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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Multisector Bounded-Neighborhood Model: Agent Segregation and Optimization of Environment’s Characteristics

Mathematical Models and Computer Simulations. 2022. Vol. 14. No. 3. P. 503–515.
Akopov A. S., Beklaryan L. A., Beklaryan A.

An approach is presented to study the effects of segregation using the developed multisector bounded-neighborhood model. A model of the evolutionary dynamics of a community consisting of local (indigenous) and external (migrants) populations interacting in an artificial socioeconomic system is proposed, in which the key sectors of the economy are identified: the extraction of raw materials (primary sector, attracting mainly migrants), the manufacturing sector (secondary sector attracting predominantly indigenous people), and low-tech and high-tech services (tertiary and quaternary sectors of the economy attracting migrants and indigenous people, respectively). The formation of jobs in these sectors of the economy is carried out centrally using the previously proposed fuzzy clustering algorithm. Simulation experiments are carried out, and the effects of segregation due to the desire of agents to search for the most desirable jobs in a bounded neighborhood under various scenario conditions are studied. Using the proposed genetic algorithm, an important optimization problem is solved to maximize GDP growth rates and minimize the level of the population’s segregation.

Research target: Mathematics Computer Science
Language: English
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Keywords: genetic algorithmsegregation effectsagent clusteringbounded-neighborhood modelstolerant threshold behavior modelsagent-based modeling of migration and socioeconomic processes
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