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  • Трансцендентальное учение Канта применительно к созданию пользовательской методички разработчика компьютерных симуляций научных экспериментов
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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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Трансцендентальное учение Канта применительно к созданию пользовательской методички разработчика компьютерных симуляций научных экспериментов

Topos (Философско-культурологический журнал). 2022. № 1. С. 71–99.
Хамдамов Т.В.

Experiments based on multilevel computer simulations, which are becoming widespread today in scientific research practices, are forcing philosophers of science to shift the focus of attention from traditional concepts of scientific experiments to a fundamentally new methodology for designing, setting up and conducting an experiment. The computational power of modern high-performance clusters, which allow creating unique computer simulations of target systems and environments in which an experiment is affected, inspire various specialists to investigate the status of such experiments, their epistemological value and ontological consistency before field, laboratory and thought experiments. Some philosophers, imbued with the technological capabilities of computing systems, dare to pose fundamental questions about the nature of knowledge, thinking and ontology. The author of this article, hoping and striving to contribute to this type of research, will attempt to provide a relevant description of the conceptual methodology for developing computer simulations for conducting scientific experiments based on the fundamental work of the founder of German classical philosophy, I. Kant.

Research target: Mathematics Computer Science Philosophy, Ethics, and Religious Studies
Language: Russian
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Keywords: философия наукиKantreasonphilosophy of scienceрассудоктрансцендентальная философияcomputer simulationscomputer science computer sciencetranscendental philosophyКантphilosophy of experimentфилософия экспериментакомпьютерные симуляцииtranscendental analyticsa priori formsтрансцендентальная аналитикааприорные формы
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