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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
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.

 

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Examining interpersonal metacognitive monitoring in artificial grammar learning

Consciousness and Cognition. 2024. Vol. 122. Article 103707.
Savina A., Zverev I., Moroshkina N.

This study investigates the observers' ability to monitor the ongoing cognitive processes of a partner who is implicitly learning an artificial grammar. Our hypothesis posits that learners experience metacognitive feelings as they attempt to apply their implicit knowledge, and that observers are capable of detecting and interpreting these feelings as cues of the learner's cognitive state. For instance, learners might encounter affective signals linked to cognitive conflicts and errors at different processing stages, which observers can construe as manifestations of the learner's cognitive dissonance. The research involved 126 participants organized into dyads, with one participant acting as a learner, and the other as an observer. The observer's task was to judge whether the learner agrees with the information presented (consonance judgment) and was limited to reading the learner's nonverbal signals to avoid explicit mindreading. The findings suggest that observers possess mindreading abilities, enabling them to detect both learners' confidence and accuracy in stimuli classification. This extends our understanding of non-verbal mindreading capabilities and indicates that observers can effectively interpret early implicit metacognitive information, even in the absence of explicit self-evaluation from the learners. This research offers significant insights into how individuals interpret others' mental states during implicit learning tasks, particularly in the context of utilizing early affective cues within the Artificial Grammar Learning paradigm.

Research target: Psychology
Language: English
DOI
Text on another site
Keywords: имплицитное научениеimplicit learningметакогнитивные переживания metacognitive experiencesмайндридингmindreadingmetacognitive monitoringметакогнитивный мониторинг
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