Model of mivar problem-oriented management and decision-making system in state space

The article discusses the development of a mivar expert system for solving management problems in a state space. the study combines the mivar and metagraph approaches to describe the architecture of a system capable of operating with evolutionary knowledge bases and processing information through linear logic and computational processing. A model for a problem-oriented management and decision-making system based on mivar agents interacting with metagraph agents within a hybrid intelligent information system is presented. The features of representing the mivar network through metagraph are described, making it possible to divide knowledge and formalize the interfaces for interaction between different information systems. The developed model is compatible with various approaches to constructing conceptual models of subject areas for solving problems through decomposition into sub-tasks. Particular attention is given to the formalization of cyclicity in the functioning of mivar expert systems, which makes it possible to organize decision-making processes in accordance with calendar or production cycles. The practical significance of this work lies in creating a tool for designing and analyzing mivar expert systems, which helps to improve the architecture of these systems and increase the expressiveness of conceptual models of subject areas when solving management problems in a state space.

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