Multiagent Recursive Cognitive Architecture. - Zalimkhan V. Nagoev (BICA, 2012)

System Essence of Intelligence and Multi-agent Existential Mappings. - Zalimkhan Nagoev; Olga Nagoeva; Dana Tokmakova (HIS, 2015)

Interactive Collaborative Robotics and Natural Language Interface Based on Multi-agent Recursive Cognitive Architectures. - Murat Anchokov; Vladimir Denisenko; Zalimkhan Nagoev; Zaurbek Sundukov; Boris Tazhev (ICR, 2016)

Model for Automatic Speech Recognition Using Multi-Agent Recursive Cognitive Architecture. - Zalimhan Nagoev; Larisa A. Lyutikova; Irina Gurtueva (BICA, 2018)

Multi-agent Algorithm Imitating Formation of Phonemic Awareness. - Zalimkhan Nagoev; Irina Gurtueva; Danil Malyshev; Zaurbek Sundukov (BICA, 2019)

Multi-agent Algorithms for Building Semantic Representations of Spatial Information in a Framework of Neurocognitive Architecture. - Zalimkhan Nagoev; Olga Nagoeva; Irina Gurtueva; Vladimir Denisenko (BICA, 2019)

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)

Multi-Agent neurocognitive models of semantics of spatial localization of events. - Zalimhan Nagoev; Olga Nagoeva; Irina Gurtueva (Cogn. Syst. Res., 2020)

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)

Phonetic-acoustic database of highly accented Russian speech. - Zalimkhan Nagoev; Irina Gurtueva; Kantemir Bzhikhatlov; Murat Anchokov (BICA*AI, 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)

The symbol grounding problem in the system of general artificial intelligence based on multi-agent neurocognitive architecture. - Zalimkhan Nagoev; Olga Nagoeva; Murat Anchokov; Kantemir Bzhikhatlov; Sultan Kankulov; Ahmed Enes (Cogn. Syst. Res., 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)