title: STRATEGY AND DEVELOPMENT OF MAS AGENTS IN MULTIFACTORIAL CLASSES
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.
journal: Globus