Abstract
Abstract. In the context of the rapid development of science and technology, traditional methods are no longer effective, which requires more intelligent and adaptive solutions for information management and processing. The article explores and analyzes multi-agent systems (MAS), their role and importance in the field of innovation. Objective: systematization of technological solutions used in the development of multi-agent systems in innovation activities, as well as assessment of their impact on the effectiveness of innovation processes. Result and novelty: an analysis of architectural and algorithmic approaches to MAC development was carried out, modern software and hardware solutions, including the Internet of Things (IoT) and cloud platforms, were studied. Innovative aspects in the integration of MAC with physical devices are highlighted, which expands their functionality. Practical significance: the considered technological solutions support the practical application of MAC in various fields: from project management to optimization of research processes. The implementation of the IAU contributes to improved coordination and allocation of resources, which is especially important in conditions of high dynamics and uncertainty of the innovation environment. Discussion: It is emphasized that MAC development faces the challenges of complex architecture and computational costs. The importance of choosing a suitable development platform (for example, JADE, SPADE, NetLogo) is highlighted, depending on the needs of the project. The role of cloud technologies and IoT in the future development of multi-agent systems is emphasized.