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News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
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.

 

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An Agent Model of Crowd Behavior in Emergencies

Automation and Remote Control. 2015. Vol. 76. No. 10. P. 1817–1827.
Akopov A. S., Beklaryan L.

An agent model of crowd (ensemble) behavior in emergencies was presented. This model is distinguished for the allowance for dynamics of each agent from the ensemble under consideration. The crowd effect manifests itself mostly as attraction or repulsion of closely set agents with a probability depending on the agent’s psychological type. Consideration was given to the effects associated with the crowd “turbulence.” Operation of the intelligent rescue agents was simulated. The impact of the configuration of spatial agent allocation on the dynamics of their evacuation in emergencies was analyzed. The influence of the intelligent rescue agents on the system was studied, and an adaptive procedure for training such agents was developed.

Research target: Mathematics Sociology (including Demography and Anthropology Computer Science
Priority areas: sociology IT and mathematics business informatics mathematics
Language: English
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DOI
Text on another site
Keywords: имитационное моделированиеhuman crowd behaviorsimulation modelingинтеллектуальные агентыоптимальное управлениемногоагентные системыагентное моделированиеagent-based simulationintellectual systems crowd dynamicsповедение толпы
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