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.
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.
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.
Averboukh Y., Математический сборник 2015 Т. 206 № 7 С. 3–32
Рассматривается начально-краевая задача для системы уравнений детерминированной игры среднего поля. Система состоит из уравнения типа Гамильтона–Якоби для функции цены и кинетического уравнения для распределения положений игроков. Предлагается определение обобщенного решения системы, основанное на понятии минимаксного решения уравнения типа Гамильтона–Якоби. Предложенный в работе метод доказательства существования обобщенного решения системы основан на исследовании равновесия по Нэшу в игре бесконечного ...
Kolokoltsov V., Malafeyev O., International Journal of Game Theory 2018 Vol. 47 P. 977–999
Recently developed toy models for the mean-field games of corruption and
botnet defence in cyber-security with three or four states of agents are extended to a
more general mean-field-game model with 2d states, d ∈ N. In order to tackle new
technical difficulties arising from a larger state-space we introduce new asymptotic
regimes, namely small discount and small interaction ...