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

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)

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)

Formal representation of natural language elements in multi-agent system based of self-organization of distributed neurocognitive architectures. - Dana Makoeva; Olga Nagoeva; Irina Gurtueva (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)

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)