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  • Инновационная сложность: общая методология и способы организации когнитивных, коммуникативных и социальных систем
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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Инновационная сложность: общая методология и способы организации когнитивных, коммуникативных и социальных систем

Гл. 2. С. 38–100.
Knyazeva H.

In the article, the phenomenon of innovative complexity is considered from the methodological position based on the modern theory of complex adaptive systems and of conception of enactive cognition (enactivism) in cognitive science and in non-classical epistemology. From this standpoint, one can assern that properties of a complex system and of a medium into which it is built and in which it functions are determined each other. Complexity, emergent properties, activity and innovative potential of a system and its medium are reciprocal properties, which are built from each other and emerge in interactive interplay. The systems is determined by medium and builds its own medium that, in its turn, influences the system and constructs it. It is impossible to innovate a system, if the medium is not modified, and vice versa. Using the language of cognitive science as an interdisciplinary field, this phenomenon of their mutual connection is called nowadays the phenomenon of enactivism, of active inbuilding into environment. From these general methodological positions, the principles of organization of cognitive, communicative and social systems are considered.

Language: Russian
Keywords: самоорганизацияinnovationсистеманелинейностьnonlinearityинновацияself-organizationsystemэмерджентностьcomplexityсложностьautopoiesiscoevolutionenactivismавтопоэзискоэволюцияэнактивизмemergent propertiesco-emergenceкоэмерджентность

In book

Инновационная сложность
Инновационная сложность
СПб.: Алетейя, 2016.
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