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Publications in Math-Net.Ru |
Citations |
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2022 |
| 1. |
A. Z. Apshev, B. A. Atalikov, S. A. Kankulov, D. A. Malyshev, Z. A. Sundukov, A. Z. Enes, “Ontophylogenetic algorithms for the synthesis of intellectual phenotypes
of software agents for use in tasks of multigenerational optimization
of control neurocognitive architectures”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022, no. 6, 76–91   |
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2020 |
| 2. |
I. A. Pshenokova, Z. A. Sundukov, “Development of a simulation model for predicting the behavior of an intelligent agent based on an invariant of a recursive
multi-agent neurocognitive architecture”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2020, no. 6, 80–90 |
4
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| 3. |
Z. V. Nagoev, K. Ch. Bzhikhatlov, O. V. Nagoeva, Z. A. Sundukov, S. A. Kankulov, “Autonomous formation of a user model based
on digital footprint data in the internet space based
on training multi-agent neurocognitive architectures”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2020, no. 6, 52–67 |
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| 4. |
Z. V. Nagoev, Z. A. Sundukov, I. A. Pshenokova, V. A. Denisenko, “Architecture of CAD for distributed artificial
intelligence based on self-organizing
neuro-cognitive architectures”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2020, no. 2, 40–47 |
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2019 |
| 5. |
Z. A. Sundukov, K. Ch. Bzhikhatlov, V. A. Denisenko, “Development of a matrix of tactile pressure sensors for robotic systems”, News of the Kabardin-Balkar scientific center of RAS, 2019, no. 6, 82–87 |
| 6. |
M. B. Abazokov, D. G. Makoeva, Z. A. Sundukov, “Development of a program for collecting and processing data from analog sensors in robotic systems”, News of the Kabardin-Balkar scientific center of RAS, 2019, no. 6, 5–9 |
| 7. |
I. A. Pshenokova, O. V. Nagoeva, Z. A. Sundukov, V. A. Denisenko, “Architecture of multi-agent neurocognitive system providing semantic representation of multimodal images in technology of machine vision”, News of the Kabardin-Balkar scientific center of RAS, 2019, no. 1, 16–22 |
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2017 |
| 8. |
I. A. Pshenokova, M. I. Anchekov, V. A. Denisenko, O. V. Nagoeva, D. G. Makoeva, Z. A. Sundukov, “Complexation of multi-modal data
in intelligent habitat based on multi-agent
recursive cognitive architectures”, News of the Kabardin-Balkar scientific center of RAS, 2017, no. 6-2, 197–202 |
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2016 |
| 9. |
Z. V. Nagoev, V. A. Denisenko, Z. A. Sundukov, E. N. Goova, “Representation of multi-agent knowledge bases
with distributed virtual reality systems”, News of the Kabardin-Balkar scientific center of RAS, 2016, no. 6, 56–60 |
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2015 |
| 10. |
I. A. Pshenokova, V. A. Denisenko, O. V. Nagoeva, D. G. Tokmakova, Z. A. Sundukov, “Knowledge representation in artificial intelligence
systems based on the principles
of ontoneuromorphogenesis
and multi-agent modeling”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 158–165 |
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| 11. |
V. A. Denisenko, M. I. Anchekov, M. M. Karmokov, Z. A. Sundukov, “Development of computer model
of the multi-agent cognitive architecture”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 61–65 |
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| 12. |
M. I. Anchekov, Z. V. Nagoev, R. A. Shankov, Z. A. Sundukov, “Computer-aided design of multi-agent knowledge bases
on distributed virtual reality system’s basis”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 7–11 |
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