Socio-Ontological Multi-Agent Neurocognitive Method of Robotic Control of Process Regulations in the Working Area of a Retail Enterprise
Authors
Murat Inusovich Anchekov
Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, Nalchik
Kantemir Chamalovich Bzhikhatlov
Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, Nalchik
Dana Gisovna Makoeva
Institute of Computer Science and Problems of Regional Management – branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, Nalchik
Zalimkhan Vyacheslavovich Nagoev
Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, Nalchik
Olga Vladimirovna Nagoeva
Institute of Computer Science and Regional Management Problems – branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, Nalchik
artificial intelligence, robotics, mobile autonomous robot, multi-agent systems, neurocognitive architectures
Abstract
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.
Author Biographies
Murat Inusovich Anchekov, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, Nalchik
Staff Scientist, Laboratory “Molecular Selection and Biotechnology”
Kantemir Chamalovich Bzhikhatlov, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, Nalchik
Cand. Sc. (Mathematics, Chemistry), Head of the Laboratory “Neurocognitive Autonomous Intelligent Systems”
Dana Gisovna Makoeva, Institute of Computer Science and Problems of Regional Management – branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, Nalchik
Cand. Sc. (Philological), Head of the Laboratory of Computational Linguistics
Zalimkhan Vyacheslavovich Nagoev, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, Nalchik
Cand. Sc. (Engineering), General Director
Olga Vladimirovna Nagoeva, Institute of Computer Science and Regional Management Problems – branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, Nalchik
Researcher of the Department of the Multiagent Systems
