Networks of Autonomous Real-Time Agents in Environments with Counteraction: Features and Components of the Model

Abstract

Abstract A group behavior and control model in a system consisting of autonomous real-world and Internet objects with opposition is considered. The urgency of the problem is due to the growing role of Internet technologies in competition models in economics, politics, computer security, etc. The problem model is analyzed in the context of the Boyd Cycle. The tasks of the cycle phases are formulated, a multi-agent model of the behavior of autonomous objects and the digital twin of the external environment in the control loop is substantiated. The necessity of using the model of a unified semantic knowledge and data space is argued.