Hybrid intelligent multiagent system as a model of a small team of specialists for solving practical problems

The paper is devoted to the issues of application of artificial intelligence systems for solving practical problems characterized by heterogeneity, uncertainty, fuzzyness, and dynamism. The application of decentralized artificial intelligence methods that allow simulating the work of small teams of specialists, which are traditionally used to solve such problems, is substantiated. As one of the possible options for implementing this approach, the concept of hybrid intelligent multiagent systems is proposed, in which intelligent agents with extensive domain models interact with each other, develop rules for jointly solving the problem, exchange knowledge necessary for its solution, adjusting their own ideas about it, distribute its parts among themselves, and synthesize a common solution. This allows the intelligent system to demonstrate high adaptability developing a new relevant method when solving the next problem. The paper proposes a methodology for constructing a typical model and a functional structure of a hybrid intelligent multiagent system, an assessment of existing problems, and possible prospects for the development of research in this area.