Abstract
The paper considers the issues of behavioral control of reactive MAS agents for multifactorial classes. The applicability of MAS technologies for a large data flow of different nature characteristic of classes of complex problems is substantiated. The conceptual MAS model and the architecture of the COVID-19 intelligent information system on its basis are proposed. The structure, behavior, choice of strategy, and functionality of the reactive agent are investigated.
Highlights
The paper considers the issues of behavioral control of reactive MAS agents for multifactorial classes
Based on the conceptual model, we propose a version of the COVID-19 multi-agent system (Fig. 2)
A class of problems with distributed parameters has been considered, for the solution of which an intelligent information system based on multi-agent systems has been proposed
Summary
Intelligent, reactive agents can be noted among them. The planner interacts with all components in the system. The planner must combine in itself all the information about the system, as well as ensure lossless data transmission. The functions performed by the planner in the system are: Distribution to objects (А1, A2, ..., An) Selection agents and assignment of functions; P1 – patient databank, P2 – databank of vaccinated patients. The components A1, A2, A3, ..., An in the diagram are distributed systems and distributed databases. There may be two-way or one-way communication between these distributed systems and distributed databases, or there may be no communication between some components
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