A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
Researchers at the HSE FCSAI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
Lepskiy A., , in: Intelligent and Fuzzy Systems. Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Volume 1.Vol. 758. Issue 1.: Cham: Springer, 2023. P. 69–76.
The threshold aggregation rule used to rank alternatives that are evaluated against a set of criteria is known in decision theory. The generalization of the threshold aggregation rule to the case when the estimates in the alternatives are described by fuzzy numbers is considered in the paper. The fuzzy threshold aggregation procedure has been developed ...
Karabekyan D., Журнал Новой экономической ассоциации 2022 № 5(57) С. 24–37
Some distortions are possible in the process of preference aggregation. For example, one voter who is pivotal for some preference profi le may not read instructions properly and accidently submit wrong preference. We study how different voting rules react to these distortions for three, four and fi ve alternatives with computer modelling. One of the ...
Vyacheslav V. Chistyakov, Procedia Computer Science 2014 Vol. 31 P. 1032–1035
In the case when alternatives are ranked by several equivalent criteria on the scale of three grades (bad, average,
good) we develop the axiomatics of preference functions for the superposition of the Borda and threshold preference
orders and present the explicit formula for the evaluation of the enumerating preference function. ...
Aleskerov F. T., Vyacheslav V. Chistyakov, Procedia Computer Science 2013 Vol. 17 P. 1103–1106
The problem of axiomatic and algorithmic constructions of the threshold decision making is studied in the case when individual opinions are given as m-graded strict preferences (with m ≥ 3). It is shown that the only rule satisfying the introduced axioms is the threshold rule. Two explicit algorithms are presented: the ordering algorithm, under which ...