Socio-ontological multi-agent neurocognitive method of robotic control of process regulations in the working area of a retail enterprise

The paper considers the scientific problem of organizing robotic control of violations of process regulations in the working area of a retail enterprise. It investigates the possibility of using an intelligent agent based on a multi-agent neurocognitive architecture in designing a behavior control system for an autonomous retail robot. It also describes an original socio-ontological method for synthesizing behavior control strategies for autonomous robots as part of a human-machine team when solving problems of automating work processes in a retail enterprise. The paper presents the results of computational experiments and comparisons of empirical and socio-ontological multi-agent neurocognitive methods for identifying and ontologizing violations of the working environment processes of a hypermarket sales area using an autonomous mobile retail robot.