A Simulation Model for the Cognitive Function of Static Objects Recognition Based on Machine-Learning Multi-agent Architectures. - Zalimkhan Nagoev; Inna Pshenokova; Irina Gurtueva; Kantemir Bzhikhatlov (BICA, 2019)

Multi-agent Model of Semantics of Simple Extended Sentences Describing Static Scenes. - Zalimkhan Nagoev; Olga Nagoeva; Inna Pshenokova; Irina Gurtueva (ICR, 2019)

Learning algorithm for an intelligent decision making system based on multi-agent neurocognitive architectures. - Zalimhan Nagoev; Inna Pshenokova; Olga Nagoeva; Zaurbek Sundukov (Cogn. Syst. Res., 2021)

Multi-agent Neural-Like Models for the Integration of Multimodal Medical Examination Data. - Zalimkhan Nagoev; Olga Nagoeva; Inna Pshenokova; Kantemir Bzhikhatlov; Irina Gurtueva; Sultan Kankulov (BECB, 2022)

Multi-agent neurocognitive architecture of an intelligent agent pattern recognition system. - Zalimhan Nagoev; Inna Pshenokova; Kantemir Bzhikhatlov; Sultan Kankulov; Boris Atalikov (BICA*AI, 2022)

Autonomous Robot Navigation System as Part of a Human-Machine Team Based on Self-organization of Distributed Neurocognitive Architectures. - Inna Pshenokova; Kantemir Bzhikhatlov; Olga Nagoeva; Idar Mambetov; Alim Unagasov (ICR, 2023)

Algorithms and Software for Simulation of Intelligent Systems of Autonomous Robots Based on Multi-agent Neurocognitive Architectures. - Zalimhan Nagoev; Kantemir Bzhikhatlov; Inna Pshenokova; Alim Unagasov (ICR, 2024)