Cooperative interaction of participants in a heterogeneous team of autonomous agents using neurocognitive models of coordinated behavior

The concept and algorithm of operation of a system of cooperative interaction of a heterogeneous team of autonomous agents based on a multi-agent neurocognitive architecture are presented in the article. The article also describes the process of forming a general graph of a problem situation in the process of planning the implementation of a collective mission received by a humanmachine team. Such a system is necessary to implement coordinated, goal-oriented behavior of heterogeneous human-machine teams. The relevance of the study is determined by the need to develop an algorithm for cooperative interaction between participants in a heterogeneous team of autonomous agents for the development of the theory and practice of creating intelligent decision-making and control systems based on multi-agent neurocognitive architectures.