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О консенсусе в системах с лапласовской матрицей низкого ранга
Гл. 1. С. 168–170.
Agaev R., Chebotarev P. Y.
The problem of reaching consensus in a MAC where there is no spanning tree in the dependency digraph is Considered.
Song J., Bai Y., Svinin M. et al., Artificial Life and Robotics 2026 Vol. 31 No. 2 P. 365–377
This study introduces an innovative control approach for deploying multiple unmanned aerial vehicles (UAVs) to monitor an unknown food region. The proposed strategy is designed to optimally distribute UAVs across the food-afected area while cooperatively estimating the extent of inundation. To achieve this, an adaptive coverage controller is developed based on Centroidal Voronoi Tessellation (CVT), incorporating a novel ...
Added: March 17, 2026
Trofimov S., Ymer 2025 Vol. 24 No. 11 P. 1–18
This paper presents the development of a multi-agent system for managing the technical condition of bus fleets in public transport enterprises. The proposed solution aims to enhance management decision-making processes in vehicle maintenance through the implementation of intelligent agents and data analytics. The system is based on the interaction of two types of agents: "Bus," which collects ...
Added: January 24, 2026
Гуревич А. М., Пьянкова М. В., Skorobogatov A. et al., Экономический журнал Высшей школы экономики 2025 Т. 29 № 4 С. 691–716
Forecasting and analyzing the volatility of financial instruments is one of the fundamental tasks in stock market operations. The literature most often employs linear models for predicting market volatility. However, this tool may not be the most suitable for the stated objective, as the market is inherently non-constant, with its volatility exhibiting distinct periods of ...
Added: December 24, 2025
Fedyanin D., , in: 17th International Conference, SCSM 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part II. Social Computing and Social Media. LNCS, volume 15787Vol. 2.: Switzerland: Springer, 2025. P. 247–256.
The paper proposes a formal model for describing opinions and higher-order opinions (e.g., opinions about opinions) using classical epistemic logic, such as the Kripke structure. Traditionally employed for analyzing knowledge and beliefs, this model is adapted to interpret opinions as beliefs, which is particularly promising for describing human-computer interaction due to its high level of formalization. The study is ...
Added: December 13, 2025
Fedyanin D., Switzerland: Springer, 2025.
The 17th International Conference on Social Computing and Social Media (SCSM 2025)
was an affiliated conference of the HCI International (HCII) conference. It provided an
established international forum for the exchange and dissemination of scientific information related to social computing and social media, addressing a broad spectrum of
issues expanding our understanding of current and future issues in ...
Added: December 3, 2025
Optimal Control for Stochastic Multi-agent Systems With the Use of Parallel Hybrid Genetic Algorithm
Akopov A. S., Beklaryan A., , in: Numerical Computations: Theory and Algorithms. 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part IVol. 14476.: Springer Publishing Company, 2025. P. 273–280.
In modern times, stochastic large-scale multi-agent systems (MAS) aimed at supporting socio-economic planning are being developed. There is a well known problem of a high computational complexity task of an optimal control for multiple agents’ behaviour in models of random interactions. In particular, agents (such as sellers and buyers) should make individualised decisions on establishing ...
Added: November 23, 2025
Dalian: IEEE, 2025.
The increasing complexity of modern software development necessitates intelligent, automated security analysis frameworks that can effectively pay attention of human on high-risk software releases. This paper introduces a Multi Agent System (MAS) framework designed to enhance the security assessment process by leveraging artificial intelligence (AI) and intelligent computing for real-time release analysis. The proposed system ...
Added: November 3, 2025
Е. Zemlyanoy, R. Nesterov, Proceedings of the Institute for System Programming of the RAS 2025 Vol. 37 No. 4-2 P. 47–68
The structure of a process model discovered from an event log of a multi-agent system often does not reflect the system architecture with respect to agent interactions. The existing conformance checking quality dimensions mainly evaluate the extent to which the behavior a discovered model corresponds to event sequences recorded in an event log. These behavioral ...
Added: September 21, 2025
Akindinov G., Матюхин В. В., Криворотько О. И., Компьютерные исследования и моделирование 2024 Т. 15 № 2 С. 245–258
В данной работе приведен алгоритм численного решения обратной начально-краевой задачи для гиперболического уравнения с малым параметром перед второй производной по времени, которая состоит в нахождении начального распределения по заданному конечному. Данный алгоритм позволяет для заданной наперед точности получить решение задачи (в допустимых пределах точности). Данный алгоритм позволяет избежать сложностей, аналогичных случаю с уравнением теплопроводности с ...
Added: October 24, 2024
Фоменко О. Ю., Морозов С. В., Шелыгин Ю. А. et al., Колопроктология 2022 Т. 21 № 4 С. 77–91
В настоящей статье представлен междисциплинарный консенсус по использованию протоколов высокоинтенсивной магнитной стимуляции в лечении дисфункции мышц тазового дна, проявляющейся анальной
инконтиненцией, в России.
ЦЕЛЬ ПУБЛИКАЦИИ: осветить ход обсуждения и принятое на основании междисциплинарного консенсуса
решение по применению нового алгоритма использования периферической и транскраниальной магнитной
стимуляции в лечении дисфункции мышц тазового дна с клиникой анальной инконтиненции.
РЕЗУЛЬТАТЫ: принятие данного консенсуса может ...
Added: September 30, 2024
A. A. Sherstyugina, R. A. Nesterov, Proceedings of the Institute for System Programming of the RAS 2023 Vol. 35 No. 3 P. 11–32
The structure of a process model directly discovered from an event log of a multi-agent system often does not reflect the behavior of individual agents and their interactions. We suggest analyzing the relations between events in an event log to localize actions executed by different agents and involved in their asynchronous interaction. Then, a process ...
Added: October 31, 2023
Dubnov Y. A., Bulychev A., Информационные технологии и вычислительные системы 2023 № 1 С. 71–81
In this paper, we investigate a method of approximate entropy estimation, designed to speed up the classical method of maximum entropy estimation due to the use of regularization in the optimization problem. This method is compared with the method of maximum likelihood and Bayesian estimation, both experimentally and in terms of theoretical calculations for some ...
Added: June 16, 2023
Dubnov Y. A., Bulychev A., Информационные технологии и вычислительные системы 2022 № 4 С. 69–80
The work is devoted to the development of an entropy estimation method with “soft” randomization for restoring the parameters of probabilistic mathematical models from the available observations. Soft randomization refers to the technique of adding regularization to the information entropy functional to simplify the optimization problem and speed up learning process compared to the traditional ...
Added: June 16, 2023
Akopov A. S., Бекларян Л. А., Beklaryan A., Информационные технологии 2023 Т. 29 № 3 С. 115–125
A novel real-coded genetic algorithm (FCGA-AM) that uses the proposed adaptive mutation (AM) operator is presented. The algorithm is designed to optimise the characteristics of the developed intelligent transportation system. The performance of the proposed genetic algorithm was evaluated in comparison with other methods of multicriteria heuristic optimization with the use of various test instances ...
Added: June 4, 2023
Ali A., , in: 22nd International Conference, NEW2AN 2022, Tashkent, Uzbekistan, December 15–16, 2022, Proceedings. Internet of Things, Smart Spaces, and Next Generation Networks and Systems. LNCS, volume 13772Issue 13772.: Springer, 2023. P. 525–533.
Machine learning over distributed data collected by many clients has
important applications in use cases where data privacy is a key concern or central data storage is not an option. Federated learning has introduced solutions
for these scenarios, unlike the client-server approach, where all the training data
is centralized in the server side, the clients, in a federated ...
Added: May 18, 2023
Fabrykant M., / Series SocArXiv "SocArXiv". 2022.
The study explores to what extent people in the contemporary Russia perceive their views and values as shared by the majority. The research hypothesis is that this perceived consensus in Russia is rather high, is positively related to various dimensions of national identity, subjective wellbeing, and social trust, and rather weekly related to actual consensus. ...
Added: November 18, 2022
Zlotnik A.A., Doklady Mathematics 2022 Vol. 106 No. 2 P. 380–385
A regularization of two types and aggregation are performed for the system of equations of motion for a multivelocity mixture of viscous incompressible fluids, and new multivelocity and single-velocity systems are constructed. For all of them, elliptic equations for the pressure and dissipative balance equations for the total energy of the mixture (the sum of its kinetic ...
Added: November 11, 2022
Salnikov A., Stepanova I., Gudkova T. et al., , in: 2021 14th International Conference Management of large-scale system development (MLSD).: IEEE, 2021. P. 1–3.
We have constructed an analytical model of the magnetic field over a region of the Martian surface using satellite raw data and S-approximations within the modified structural-parametric approach. The method mentioned above implies considering the environment features as a function included in an integral. We approximated the anomalous field by the sum of simple and ...
Added: October 30, 2022