Abstract
The issues of using multiagent technology for studying the possibilities of transitioning from automation to intelligent processes in managing urban parking spaces as a new stage of digitalization based on the Industry 4.0 concept are being considered. The main approaches to developing a multiagent system (MAS) architecture are discussed in the context of implementing the basic requirements of the Industry 4.0 concept for networked decentralized organization, and the typology of included agents is analyzed. The justification for the necessity and effectiveness of using MAS technology for a set of tasks assigned to intelligent agents of different typologies is provided, and the organization of their interaction in collective problem-solving in this problem domain is explored. The features of prototyping the MAS architecture with a focus on using simulation modeling of the interaction processes of different types of intelligent agents are considered, using the example of describing the conceptual-functional features of three different behavioral models of agents.
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Rybina, G.V., Stepankov, V.Y. (2023). Features of the Use of Multiagent Technology in the Management of Urban Parking Space. In: Kovalev, S., Kotenko, I., Sukhanov, A. (eds) Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23). IITI 2023. Lecture Notes in Networks and Systems, vol 776. Springer, Cham. https://doi.org/10.1007/978-3-031-43789-2_34
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