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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
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.

 

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Управление процессами морской логистики в нефтяной отрасли: анализ и совершенствование с помощью агентно-ориентированных имитационных моделей

Судостроение. 2024. № 1(872). С. 61–68.
Serova E., Шкляев Д. О., Сумятина В. О.

Intelligent business transformation — one of the main directions of qualitative development within modern economy. The analysis of the problems associated with the progressing of the theory and practice of maritime logistics in the oil industry, especially in the last decade, is carried out taking into account the application of a systems approach and modern intelligent systems, distributed artificial intelligence systems. As a result of the 4th industrial revolution technologies integration into the oil industry, such as artificial intelligence (AI), 5G, cloud computing, IoT, and the constant development of the eco-system of AI applications, it is going the evolving of the industry and expanding business opportunities for innovation. Resources such as oil and gas are associated with government regulation and life support of the population, so all the supply chain links must meet the requirements of effective management and ensuring a high level of competitiveness. Artificial intelligence is an important strategic technology that allows the oil industry to respond promptly to ongoing changes in logistics flows and efficiently manage them. One of the most effective ways to solve managerial problems of multifunctional logistics is application of methods and systems of modeling, first of all, multi-agent systems (MAS), belonging to the class of distributed artificial intelligence systems. Despite the abundance of researches on the theory and methodology application of different modeling approaches and systems in maritime logistics, the most effective and correct ways of their application are constantly being searched. The article is devoted to the consideration of issues related to the application of simulation in maritime logistics in the oil industry, in particular, agent-based modeling.

Research target: Computer Science Mathematics Economics and Management
Language: Russian
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Keywords: агентное моделированиесистемы распределенного искусственного интеллектацифровые двойникиdigital twinsdistributed artificial intelligence systems agent-based modelingmanagement of maritime logistics processes in the oil industryуправление процессами морской логистики в нефтяной отрасли
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