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News
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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Dispute Resolution with OWL DL and Reasoning

CEUR Workshop Proceedings. 2023. No. 3515.
Baimuratov I., Lisanyuk E., Prokudin D.

Dispute resolution is an essential part of argumentation. Although there have been particular advances in computational argumentation with machine learning, we assume that explicit and deterministic techniques for dispute resolution still have significant potential. There are semantic approaches to argument representation, such as the Argument Interchange Format that supports a certain level of interoperability, but according to our knowledge, dispute resolution techniques based on semantics are not yet studied. In this research, we consider single mixed disputes through abstract argumentation frameworks and propose a method for representing such disputes in OWL DL that allows resolving them with reasoning. Additionally, we develop an algorithm for generating the OWL DL representation having argument sets and attack relations as input. The algorithm is validated with a proof of concept implementation, and the OWL DL representation – with an example of correct dispute resolution performed by reasoning over the generated ontology

Research target: Philosophy, Ethics, and Religious Studies Computer Science
Language: English
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Keywords: reasoningdispute resolutionabstract argumentation frameworkscomputational argumentationOWL DL
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