Simulation Model of the Decentralized Control of Autonomous Software Agents’ Teams and Mobile Robots

The paper presents a decentralized approach to the mission control of autonomous software agents’ teams and mobile robots based on the ontologization of the semantics of natural linguistic statements. Decentralization is ensured by managing intellectual agents based on multi-agent neurocognitive architectures with their own behavior. As a result of such control, the ratio of the “Autonomous agent - external environment” subsystem changes, which leads to changes in the ratio of the “Agent team - external environment” system. Coordination of goals and joint efforts to change the external environment in the general cooperative plan is performed on the basis of the synthesis and interpretation of natural-language messages. In this sense, a classic multi -agent system is formed, which implemented sending messages, only as messages, texts in a natural language act.