Application of a multi-agent approach for modeling innovation activities in industrial networks

Technological cooperation in the framework of innovation activities is an established tool for responding to economic and technological changes. At the same time, research in the field of decision-making support for the effective realization of the innovative potential of industrial networks does not lose relevance due to the importance of joint activities of technology companies in the process of research and development for the economic development of regions. However, the existing decision support tools for managing innovation processes of industrial networks are limited in terms of taking into account the multi-agent interactions of individual network companies in the process of implementing joint activities, in particular in the process of allocating common resources. In this paper, we propose a hybrid approach to modeling the innovation activities of industrial networks based on game theory tools and a multi-agent approach. The aim of the study study is the algorithmic adaptation of strategies for the interaction of internal agents of network associations of technology companies, as the basis of a multi-agent resource allocation model in the process of implementing innovative developments in network associations of technology companies. The paper provides a study of typical interactions of intelligent agents, as well as their applicability in the context of modeling the interactions of individual agents of a system of industrial networks. The results of the work contribute to the development of methodological and instrumental modeling tools for decentralized organizational systems

Keywords: innovative activity, modelling of organisational systems, multiagent interactions, industrial networks

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