Cognitive model of collective behavior of distributed intelligent multi-agent systems

\nThe goal of this study is to develop a model of collective behavior of intelligent agents based on neurocognitive multi-agent architectures. The consistency of agent behavior is based on a single semantic model that is based on the desire of all agents to maximize the energy that a given agent or a collective extract from the environment as a result of performing actions prescribed by a suboptimal plan for such behavior. The main method used to synthesize collective behavior is to create conditions for the growth and development of the controlling multi- agent neurocognitive architecture of an intelligent agent based on the data it receives in the process of interaction with the user, autonomous or robotic agents.\n