MULTIAGENT SYSTEMS IN THE MANAGEMENT OF ACADEMIC INSTITUTIONS
Abstract
The article considers the possibilities of using multi-agent systems (MAS) to improve the efficiency of management of academic institutions. The main advantages of MAS, such as adaptability, autonomy, task distribution and improved communication, are highlighted. The main stages and individual milestones in the development of multi-agent systems (MAS) are highlighted through analysis: the formation of concepts in the context of artificial intelligence and distributed systems, the creation of algorithms for coordinating actions between agents, the formalization of their roles and interactions, the development of the first platforms for the implementation of MAS, active use in various industries, the expansion of the functionality of systems through machine learning and optimization methods, as well as the integration of MAS with cloud technologies, the Internet of Things, modern methods of artificial intelligence and blockchain technologies, which should ensure their adaptability, efficiency and security. The main challenges associated with their implementation are discussed, including technical problems, resource requirements, ethical issues and the complexity of modeling. The stages of the MAS implementation methodology are described in detail, from needs analysis and design to testing, implementation and support. Examples of practical use of MAS for automating the creation of class schedules in universities and managing library resources are given, detailing the agents' structure and roles. It is concluded that multi-agent systems have significant potential for the digital transformation of academic institutions, but their successful integration requires consideration of technical, organizational and financial aspects. The article emphasizes the importance of multi-agent systems for modern academic institutions and their potential for significantly improving management processes. The need for a comprehensive approach to the implementation and development of multi-agent systems is indicated, which takes into account technical, organizational and financial aspects.
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