МУЛЬТИАГЕНТНІ ТЕХНОЛОГІЇ В ЦИФРОВИХ ЕКОСИСТЕМАХ АКАДЕМІЧНИХ УСТАНОВ

The article investigates the potential of multi-agent systems (MAS) as a technological foundation for building digital ecosystems in academic institutions. Contemporary universities and research institutes face significant challenges in the digital transformation process: fragmentation of information systems, increased complexity of educational, research, and administrative processes, exponential growth of structured and unstructured data, and rising expectations of stakeholders for personalized and adaptive digital services. Traditional monolithic or siloed systems are no longer capable of ensuring real-time integration, flexibility, autonomy, or emergent behavior required for modern academic environments. The paper substantiates the suitability of MAS as a key enabler of intelligent, scalable, and self-organizing digital ecosystems. Each agent in MAS operates autonomously, possesses its own goals and knowledge base, and communicates with other agents through standardized protocols. This architecture enables the dynamic adaptation of the system to new conditions, continuous learning from data, and distributed decision-making. The study presents a layered architecture for a university-wide MAS-based digital ecosystem, detailing infrastructure, data management, agent behavior, service APIs, and user interfaces. Examples of agents for tutoring, resource management, integration with legacy systems (LMS, ERP), and intelligent analytics are provided. The findings emphasize that MAS not only allow for automation of academic workflows but also support the creation of a unified, responsive, and knowledge-driven environment. In this setting, students receive personalized learning paths, researchers benefit from intelligent search and collaboration tools, and administrators gain predictive analytics for strategic decision-making. MAS-based ecosystems thus represent an evolutionary step toward the university of the future, where data, services, and users are seamlessly integrated in a living digital organism.

Publication Details

Journal
Scientific periodicals of Ukraine
Published
2025-06-30
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

МУЛЬТИАГЕНТНІ ТЕХНОЛОГІЇ В ЦИФРОВИХ ЕКОСИСТЕМАХ АКАДЕМІЧНИХ УСТАНОВ

Scientific periodicals of Ukraine
Geochemistry and Geologic Mapping
article

МУЛЬТИАГЕНТНІ ТЕХНОЛОГІЇ В ЦИФРОВИХ ЕКОСИСТЕМАХ АКАДЕМІЧНИХ УСТАНОВ

article en

Abstract

The article investigates the potential of multi-agent systems (MAS) as a technological foundation for building digital ecosystems in academic institutions. Contemporary universities and research institutes face significant challenges in the digital transformation process: fragmentation of information systems, increased complexity of educational, research, and administrative processes, exponential growth of structured and unstructured data, and rising expectations of stakeholders for personalized and adaptive digital services. Traditional monolithic or siloed systems are no longer capable of ensuring real-time integration, flexibility, autonomy, or emergent behavior required for modern academic environments. The paper substantiates the suitability of MAS as a key enabler of intelligent, scalable, and self-organizing digital ecosystems. Each agent in MAS operates autonomously, possesses its own goals and knowledge base, and communicates with other agents through standardized protocols. This architecture enables the dynamic adaptation of the system to new conditions, continuous learning from data, and distributed decision-making. The study presents a layered architecture for a university-wide MAS-based digital ecosystem, detailing infrastructure, data management, agent behavior, service APIs, and user interfaces. Examples of agents for tutoring, resource management, integration with legacy systems (LMS, ERP), and intelligent analytics are provided. The findings emphasize that MAS not only allow for automation of academic workflows but also support the creation of a unified, responsive, and knowledge-driven environment. In this setting, students receive personalized learning paths, researchers benefit from intelligent search and collaboration tools, and administrators gain predictive analytics for strategic decision-making. MAS-based ecosystems thus represent an evolutionary step toward the university of the future, where data, services, and users are seamlessly integrated in a living digital organism.

Scientific periodicals of Ukraine
Industry, innovation and infrastructure
Openalex Percentile: Top 60%
Geochemistry and Geologic Mapping
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МУЛЬТИАГЕНТНІ ТЕХНОЛОГІЇ В ЦИФРОВИХ ЕКОСИСТЕМАХ АКАДЕМІЧНИХ УСТАНОВ · Scientific periodicals of Ukraine (2025) | TGRS Research Map | TGRS