Proceedings of The 6th International Conference on Control and Optimization with Industrial Applications. Val. 1.

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Proceedings of The 6th International Conference on Control and Optimization with Industrial Applications

Vol. 1. 2018.

TWO MODELS OF LATENT CONSENSUS IN MULTI-AGENT SYSTEMS

Agaev R., Chebotarev P. Y., , in: Proceedings of The 6th International Conference on Control and Optimization with Industrial ApplicationsVol. 1.: [б.и.], 2018. Ch. 1 P. 26–28.

In this paper, we propose several consensus protocols of the first and second order for networked multi-agent systems and provide explicit representations for their asymptotic states. These representations involve the eigenprojection of the Laplacian matrix of the dependency digraph.In particular, we study regularization models for the problem of coordination when the dependency digraph does not ...

Added: October 31, 2018

Priority areas: IT and mathematics

Language: English

Keywords: консенсус multi-agent systems многоагентные системы Consensus

Publication based on the results of:

Modern context of decision making and data analysis methods: human factor, uncertainty, risks, network models, big data (2018)

Proceedings of The 6th International Conference on Control and Optimization with Industrial Applications

ML-based Fast Simulation of FARICH Responses

Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.

A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...

Added: May 19, 2026

Natural hazard database from Internet publications: text mining with a large language model

Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.

Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...

Added: April 28, 2026

Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena

Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.

We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...

Added: April 20, 2026

Using predefined vector systems to speed up neural network multimillion class classification

Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.

Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...

Added: April 2, 2026

A control strategy for monitoring unknown flood regions by multiple UAVs

Song J., Bai Y., Svinin M. et al., Artificial Life and Robotics 2026 P. 1–13

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

Enhancing the Effectiveness of Management Decisions in Public Transport through Multi-Agent Technologies

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

Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection

Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.

Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...

Added: January 15, 2026

Implementing Transport Coding in OMNeT++ for Message Delay Reduction

Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.

Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...

Added: December 24, 2025

Epistemic Mathematical Models for Analyzing Meta-opinions on Social Networks

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

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 15787

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

Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset

Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.

Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...

Added: December 1, 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

Determining the boundary of dynamical chaos in the generalized Chirikov map via machine learning

Chernyshov D., Satanin A., Shchur L., / Series arXiv "math". 2025.

We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...

Added: November 21, 2025

Эффективный алгоритм торговли на фондовом рынке: ретроспективный анализ, основанный на данных по S&P-500.

Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.

The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...

Added: November 9, 2025

2025 2nd International Conference on Intelligent Computing and Robotics (ICICR)

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

Diffusion on language model embeddings for protein sequence generation

Meshchaninov V., Strashnov, P., Shevtsov A. et al., / Cornell University. Серия CoRR, arXiv:2403.03726 "Computing Research Repository,". 2025.

Protein design requires a deep understanding of the inherent complexities of the protein universe. While many efforts lean towards conditional generation or focus on specific families of proteins, the foundational task of unconditional generation remains underexplored and undervalued. Here, we explore this pivotal domain, introducing DiMA, a model that leverages continuous diffusion on embeddings derived ...

Added: October 5, 2025

Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation

Shabalin A., Meshchaninov V., Vetrov D., / Series cs.CL, arXiv:2505.18853 "Computation and Language". 2025.

Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging due to its discrete nature. Prior approaches either apply Gaussian diffusion in continuous latent spaces, which inherits semantic structure but struggles with token decoding, or operate in categorical simplex space, which respect discreteness but disregard semantic ...

Added: October 5, 2025

A Feature Engineering Framework for Computer Vision Based on Topological Data Analysis

Абрамов А. С., Chernyshev V. L., Mikhaylets E. et al., / Series Social Science Research Network "Social Science Research Network". 2025.

Computer vision is one of the most relevant modern research areas with broad practical applications. However, traditional solutions based on deep learning have signicant limitations and can be misleading. Topological data analysis, on the other hand, is a modern approach to solving similar problems using mathematically deterministic methods of algebraic topology that reduce the risk ...

Added: September 23, 2025

Evaluating Structural Complexity of Workflow Nets Modeling Asynchronous Agent Interactions

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

On the construction of frieze patterns from partitions of convex polygons by nonintersecting diagonals

Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 07600.

We demonstrate in an elementary way how to construct a frieze pattern of width m-3 from a partition of a convex m-gon by not intersecting diagonals. ...

Added: September 17, 2025

On one property of Catalan numbers

Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 20584.

We give a new proof of the following statement: the Catalan number C_n is divisible by n+2, if n is odd and n<> 3k+1. ...

Added: September 9, 2025

Междисциплинарный консенсус по использованию высокоинтенсивной импульсной магнитной стимуляции в лечении дисфункции мышц тазового дна в форме анальной инконтиненции

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

Discovering Process Models from Event Logs of Multi-Agent Systems Using Event Relations

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

Оптимизация характеристик интеллектуальной транспортной системы с использованием генетического алгоритма вещественного кодирования на основе адаптивной мутации

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