The paper presents the formalism of an intelligent decision-making system based on multi-agent neurocognitive architectures, which has an architectural similarity to the human brain. An invariant of the organizational and functional structure of the intellectual decision-making process based on the multi-agent neurocognitive architecture is developed. An algorithm for teaching intelligent decision-making systems based on the self-organization of the invariant of multi-agent neurocognitive architectures is presented. Using this algorithm, an intelligent agent was trained and the architecture of the learning process was built on the basis of an invariant of neurocognitive architecture. Further research is related to training an intelligent agent in more complex behavior and expanding the capabilities of an intelligent decision-making system based on multi-agent neurocognitive architectures.

本文提出了一种基于多智能体神经认知体系结构的智能决策系统的形式主义，该体系结构与人脑具有相似性。开发了基于多主体神经认知架构的智力决策过程的组织和功能结构的不变性。提出了一种基于多智能体神经认知架构不变性自组织的智能决策系统教学算法。使用该算法，训练了智能代理，并基于神经认知架构的不变性构建了学习过程的架构。