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News
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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ДИСКРЕТНО-ДИНАМИЧЕСКОЕ МОДЕЛИРОВАНИЕ ГОСУДАРСТВЕННОГО РЕГУЛИРОВАНИЯ ЧЕЛОВЕЧЕСКОГО КАПИТАЛА

Математическое моделирование. 2020. Т. 32. № 6. С. 81–96.
Каменев Г. К., Kamenev I.

The article considers the problem of multi-criteria optimization of the state regulation of the quality of human capital in the information society. It describes human capital's dynamic by discrete model, taking into account the age dynamics of awareness and cognitive abilities of the individual as a carrier of information. Lifelong indices of human capital are constructed on the trajectories of human’s productivity and creativity, taking into account the increase in the quality of human capital in youth, and further, its decline in older age. The problem of state regulation is described as a bicriteria maximization of two population’s mathematical expectations of indices for the generation, taking into account not only the natural distribution of indices by starting values, but also the possibilities of socialization in the state-controlled education system. The identification of the model is based on the known population constraints on the phase tube of trajectories. The model is identified and researched by methods using approximation by Shannon’s metric nets. It is shown that the optimal choice of educational priorities by the state depends on the parameters of society: age mortality rates and the budget of time available for socialization of non-adults. There are combinations of parameters that lead to conflict of control criteria, so the solution is a set of Pareto-optimal strategies. For Russia, there is a dominant solution that prioritizes the development of cognitive abilities rather than awareness.

Research target: Mathematics Economics and Management Education
Priority areas: economics state and public administration IT and mathematics
Language: Russian
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Keywords: информационное обществочеловеческий капиталinformation societyмногокритериальная оптимизацияmulticriteria optimizationдинамическая модельdiscrete modelcognitive abilitiesкогнитивные способностидискретная модельоптимальность по Паретоdynamical modeleducation governanceгосударственное регулирование образованияhuman capitalPareto-optimalitymetric data analysisметрический анализ данных
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