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Architecture for Ubiquitous Agents for Digital Ecosystem
P. 293–302.
Suleykin, A., Panfilov P.
In this paper, we present the high-level architecture of an integrated resource management system for the digital ecosystem of a modern enterprise. The proposed system configuration implements the CONSORTS concept – a new kind of architecture for ubiquitous intelligent agents that provide services for modeling and forecasting the dynamics of changes in the resources of a modern enterprise. The other part of the digital ecosystem is made up of auxiliary agents for data processing, their integration and merging, normalization and filtering, converting data to a single model. We illustrate an idea of CONSORTS-based resource management system using the example of digital ecosystem of the real production enterprise. Considerations of special issues of stability design of an integrated control system in digital ecosystem accompany and complement the design issues of the semantic grounding and cognitive resources of the CONSORTS-based architectural style.
Publication based on the results of:
In book
Switzerland: Springer, 2024.
Yaroslav I. Kuzminov, Alexey S. Koshel, Ekaterina V. Kruchinskaia et al., BRICS Law Journal 2026 Vol. 13 No. 2 P. 5–36
Today’s economy is undergoing a fundamental institutional shift in which digital ecosystems have emerged not only as a key driver of development but also as a critical condition for market access for billions of users. Despite the rapid global proliferation of these phenomena, the evolution of legal regulation—from e-commerce and data protection to antitrust oversight ...
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Dementyeva K., Вестник Томского государственного университета. Филология 2026 № 100 С. 192–219
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Kornienko S., Ismakaeva I., Senina A., Отечественная и зарубежная педагогика 2026 Т. 1 № 2(113) С. 91–102
In the digital age, digital proficiency is becoming a key literacy of the 21st century, particularly relevant for students in humanities education programs. This article proposes a comprehensive model for integrating digital technologies into humanities education at a university. The methodology relies on case studies and design-based research elements, including analysis of regulatory documents, educational ...
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Tyshetskaya A., Vartanov S., Olga Kalachikova, World of Media. Journal of Russian Media and Journalism Studies 2026 No. 1 P. 5–29
This article examines media resources within Russian digital ecosystems (RDESs) for which the media industry has never been a core business and which are now actively expanding their presence in this area: Sber, MTS, and T-Technologies (T-Bank). It discusses how each of the analyzed non-media companies has transformed into a digital ecosystem in recent years, ...
Added: April 14, 2026
Vartanov S., Tyshetskaya A., Вестник Московского университета. Серия 10: Журналистика 2025 № 5(50) С. 23–53
Media has been at the forefront of digital transformation in recent years: not only have the methods of creating, selling, storing, and consuming media content and media services changed, but also the structure of the media communication industry (MCI) itself. Considering its new structure and subjectivity, one cannot help but pay attention to artificial intelligence (AI) technologies that manifest ...
Added: December 11, 2025
Solovev G. V., Zhidkovskaya A. B., Orlova A. et al., , in: Findings of the Association for Computational Linguistics: EMNLP 2025.: Association for Computational Linguistics, 2025. Ch. 367 P. 6956–6998.
Hit identification is a central challenge in early drug discovery, traditionally requiring substantial experimental resources. Recent advances in artificial intelligence, particularly large language models (LLMs), have enabled virtual screening methods that reduce costs and improve efficiency. However, the growing complexity of these tools has limited their accessibility to wet-lab researchers. Multi-agent systems offer a promising ...
Added: November 16, 2025
L. Rezunik, M.A. Prozorskiy, D.V. Alexandrov, Proceedings of the Institute for System Programming of the RAS 2025 Vol. 37 No. 4-2 P. 219–234
The rapid advancement of AI technologies, particularly Large Language Models (LLMs), has sparked interest in their integration into Multi-Agent Systems (MAS). This holds substantial promise for applications such as smart homes, where it can significantly enhance user experience by optimizing comfort, energy efficiency, and security. Despite the potential benefits, the implementation of MAS based on ...
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Boboshko D., Treistar D., Kulapova A., Lecture Notes in Networks and Systems 2024 No. 1092
The article presents the results of a study of the conceptual apparatus used in describing the processes of formation and functioning of banking ecosystems. Advanced search filters were applied to select the most relevant scientific literature, which made it possible to objectively narrow and clarify the scope of bibliometric research. The content of more than ...
Added: May 26, 2025
Ovanesova Y., Moshiashvili M. M., Типсина Н. О., / Series "Working Papers". 2021.
The purpose of this article is to analyze and evaluate the cultural characteristics of the digital ecosystem product teams leaders and operational efficiency. Using binary choice models (the main conclusions were made on the basis of logit regressions), has been found a significant negative relationship between the probability of achieving business goals by a team ...
Added: February 17, 2025
Petrosyan L., Yeung D., Pankratova Y., Proceedings of the Steklov Institute of Mathematics 2023 Vol. 29 No. 3 P. 128–137
Dynamic multi-agent systems connected in network are considered. To define the power of each agent the analogue of characteristic function is introduced. The values of this characteristic function for each coalition (subset of agents) are calculated as joint payoff of players from this coalition plus payoffs (multiplied on some discount factor) of players which do not belong to ...
Added: March 20, 2024
Shastitko A., Kurdin A., Филиппова И. Н., Вопросы экономики 2023 № 2 С. 61–82
The importance of digital ecosystems in the economy is growing rapidly as more and more companies and consumers are involved in their circuit. At the same time, the regulation relevance is growing too, as evidenced by many antitrust cases involving companies such as Yandex, Google, Microsoft, which constitute the core of the respective ecosystems. The ...
Added: June 30, 2023
Oleg Sukhoroslov, Maxim Gorokhovskii, Roman Ilgovskiy et al., , in: Материалы IV Международного семинара по информационным, вычислительным и управляющим системам для распределенных сред (ICCS-DE 2022).: Иркутск: ИДСТУ СО РАН, 2022. P. 79–96.
Resource management is a critical part of modern large-scale distributed systems and an active area of research. The diversity of systems, workloads and requirements have lead to many domain-specific problem statements, solutions and simulation tools proposed by researchers, which are hard to compare and reuse. In this paper, an overview of related resource management problems ...
Added: October 30, 2022
Moltchanov D., Samuylov A., Lisovskaya E. et al., IEEE Transactions on Wireless Communications 2022 Vol. 21 No. 1 P. 163–178
To alleviate the impact of outages caused by dynamic blockage of propagation paths in millimeter wave (mmWave) systems, 3GPP has proposed multi-connectivity operation, where user equipment (UE) maintains simultaneous links to both sub-6 GHz and mmWave BSs. We address one of the most challenging prospective deployments - multi-lane street deployment with intra- and inter-RAT multi-connectivity. ...
Added: September 15, 2022
Panfilov P., Suleykin A., ElDarawany A. et al., , in: 2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA).: IEEE, 2021. P. 915–920.
We propose a system for prediction infrastructure capacity and metrics using Open-Source Big Data technologies. The proposed system is being built as a Digital Ecosystem comprised of various Services, which are needed for the prediction of Digital Infrastructure Capacity of a production company. Various techniques for the development of a digital ecosystem, such as integration, ...
Added: January 16, 2022
Suleykin A., Bakhtadze N., Panfilov Peter, , in: MEDES '20: Proceedings of the 12th International Conference on Management of Digital EcoSystems.: NY: Association for Computing Machinery (ACM), 2020. P. 92–95.
In this paper, Big-Data Driven Digital Ecosystem Framework (BDDDEF) for Online Predictive Control Systems is created. The proposed framework consists of different Agents, where each Agent is a distributed and virtual service. In our work, we provide solutions to the Big Data challenges in building Digital Ecosystems for Online Control including high volumes, velocity and ...
Added: February 5, 2021
NY: Association for Computing Machinery (ACM), 2020.
Nowadays, we live in a world, in which independent entities such as individuals, organizations, services, software, and applications sharing one or several missions and focusing on the interactions and inter-relationships among them, are strongly connected. This situation gives rise to an intelligent environment namely «digital ecosystem». This latter includes different producers of data (the Web, ...
Added: February 5, 2021
Moinak M., Krakovich V., Shams R. et al., Management Decision 2020 Vol. 58 No. 8 P. 1525–1541
Purpose – The paper introduces a resource-based linear programming model for resource optimization in
small innovative enterprises (SIE).
Design/methodology/approach – The model is grounded on resource-based view on the firm and dynamic
capabilities approach. Linear programming technique is used to provide the actual framework to the resourcebased
model.
Findings – The paper introduces a new resource-based linear programming model for ...
Added: December 5, 2020
Suleykin, A., Panfilov, P., , in: Annals of DAAAM and Proceedings of the International DAAAM SymposiumVol. 31(1): Proceedings of the 31st International DAAAM Virtual Symposium ''Intelligent Manufacturing & Automation''.: Wien: DAAAM International Vienna, 2020. Ch. 70 P. 0499–0509.
In our application research, we propose a Digital Ecosystem approach to overcome data integration, orchestration and quality challenges in railway reporting system using Big Data technologies. We are building a Digital Ecosystem Framework consisting of different Agents, where each Agent is an essential part of the Railway Reporting Management System. In this work, we address ...
Added: October 27, 2020
Management Decision 2020 Vol. 58 No. 8 P. 1525–1541
The paper introduces a new resource-based linear programming model for resource optimization in small innovative enterprises. The conceptual model is grounded on resource-based view (RBV) and dynamic capabilities strategy. The RVB of firm and firm strategy is based on the concept of economic rent. Linear programming technique is used to provide the actual framework to ...
Added: May 5, 2020