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Publications in Math-Net.Ru |
Citations |
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2023 |
1. |
Z. V. Nagoev, I. A. Pshenokova, O. V. Nagoeva, M. I. Anchekov, A. Z. Enes, “Simulation model of a neurocognitive control system
for an autonomous software agent performing cooperative behavior
to automatically replenish ontologies”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2023, no. 6, 226–234 |
2. |
Z. V. Nagoev, I. A. Pshenokova, M. I. Anchekov, K. Ch. Bzhikhatlov, B. A. Atalikov, S. A. Kankulov, A. Z. Enes, “Classification and conditions of application of algorithms
for automatic ontologization of the state space of a general artificial
intelligence agent under the control of neurocognitive architecture”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2023, no. 6, 210–225 |
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3. |
Z. V. Nagoev, M. I. Anchekov, Zh. H. Kurashev, A. A. Khamov, “Neurocognitive learning algorithm for a multi-agent system
for evolutionary modeling of gene expression according
to PCR analysis of plants”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2023, no. 6, 179–192 |
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4. |
M. I. Anchekov, A. M. Leshkenov, “System for virtual simulation of robotic systems
for agricultural purposes”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2023, no. 6, 125–131 |
5. |
M. I. Anchekov, A. Z. Apshev, K. Ch. Bzhikhatlov, S. A. Kankulov, Z. V. Nagoev, O. V. Nagoeva, I. A. Pshenokova, A. A. Khamov, A. Z. Enes, “Formal genome model of a general artificial intelligence agent based
on multi-agent neurocognitive architectures”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2023, no. 5, 11–24 |
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2022 |
6. |
M. I. Anchekov, K. Ch. Bzhikhatlov, Z. V. Nagoev, O. V. Nagoeva, I. A. Pshenokova, “Ontoepisociophylogenetic development
of artificial general intelligence systems
based on multi-agent neurocognitive architectures”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022, no. 6, 61–75 |
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7. |
M. I. Anchekov, K. Ch. Bzhikhatlov, S. A. Kankulov, Z. V. Nagoev, O. V. Nagoeva, I. A. Pshenokova, “A multi-agent algorithm for substantiating
the symbols of a conventional language based on situational development
of neurocognitive architecture”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022, no. 6, 48–60 |
8. |
M. I. Anchekov, Z. I. Bogotova, I. A. Pshenokova, Z. V. Nagoev, B. R. Shomakhov, “Collaborative breeding system based on a consortium
of heterogeneous intelligent agents”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022, no. 5, 25–37 |
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9. |
M. I. Anchekov, K. Ch. Bzhikhatlov, A. M. Leshkenov, “High throughput crop phenotyping systems”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022, no. 5, 19–24 |
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2020 |
10. |
M. I. Anchekov, Z. I. Bogotova, “Artificial intelligence techniques in breeding”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2020, no. 6, 91–96 |
11. |
M. I. Anchekov, “Applying reinforced learning for solving the problem of structuring the external environment”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2020, no. 6, 14–19 |
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2019 |
12. |
K. Ch. Bzhikhatlov, M. A. Kazakov, A. A. Airan, M. I. Anchekov, “Modeling the energy exchange of agents of a neurocognitive intellectual system”, News of the Kabardin-Balkar scientific center of RAS, 2019, no. 6, 27–31 |
13. |
M. P. Krivenko, M. I. Anchekov, “Computer model of the emergence of collective robot behavior”, News of the Kabardin-Balkar scientific center of RAS, 2019, no. 6, 21–26 |
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14. |
D. Yu. Kravchenko, N. V. Kulieva, Yu. S. Novikova, M. I. Anchekov, “Structurization of information based on the combination of genetic, swarm and monkey algorithms”, News of the Kabardin-Balkar scientific center of RAS, 2019, no. 5, 5–14 |
15. |
O. V. Nagoeva, M. I. Anchekov, “Development of a software model for a robot combine control system”, News of the Kabardin-Balkar scientific center of RAS, 2019, no. 3, 15–22 |
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2018 |
16. |
M. V. Sychugov, Yu. A. Kravchenko, M. I. Anchyokov, “Modeling the forecast of temporal metrics based on method of reverse propagation of errors and optimization heuristics”, News of the Kabardin-Balkar scientific center of RAS, 2018, no. 6-3, 132–137 |
17. |
I. A. Pshenokova, M. I. Anchekov, D. G. Makoeva, “Architecture of the multi-agent cognitive system for the decision-making process in intellectual habitats”, News of the Kabardin-Balkar scientific center of RAS, 2018, no. 4, 28–32 |
18. |
M. I. Anchekov, D. Yu. Kravchenko, “Application of swarm intelligence principles for decentralized management of intelligent agents”, News of the Kabardin-Balkar scientific center of RAS, 2018, no. 4, 5–14 |
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2017 |
19. |
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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20. |
I. A. Pshenokova, M. I. Anchekov, V. A. Denisenko, “Formal statement of the tasks
of intellectualization of the process
of robotic harvesting of fruits and vegetables based
on the use of multiagent neural networks”, News of the Kabardin-Balkar scientific center of RAS, 2017, no. 6-2, 191–196 |
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2016 |
21. |
R. N. Abutalipov, A. U. Zammoev, M. I. Anchekov, “Perspectives of application of micro and nanosystem equipment in biology and medical diagnostics.
Problems and tasks of LOC (laboratories on the chip)”, News of the Kabardin-Balkar scientific center of RAS, 2016, no. 6, 5–10 |
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2015 |
22. |
Yu. Kh. Khamukov, L. Z. Shautsukova, M. I. Anchekov, “Advanced development of transport platforms
of mobile modules of multiagent robotic systems.
General trends”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 192–197 |
23. |
I. A. Pshenokova, V. Ch. Kudaev, M. I. Anchekov, L. A. Gladkov, “Development of software infrastructure based
on multi-agent recursive cognitive architecture
for objects representation in artificial
intelligence systems”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 166–173 |
24. |
A. A. Mokaeva, Yu. Kh. Khamukov, L. Z. Shautsukova, M. I. Anchekov, A. U. Zammoev, “Multilink cable-operated robotic arm”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 131–136 |
25. |
A. U. Zammoev, M. I. Anchekov, R. A. Shankov, “Evolutionary modeling of intellectual analysis
of diverse knowledge as a method of research
of properties of nanostructures on the attributes
of the applicability as an element base
of nanomechatronic devices and systems”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 89–92 |
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26. |
A. U. Zammoev, M. I. Anchekov, V. Ch. Kudaev, “Optimal design of nanomechatronics devices
and systems”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 84–88 |
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27. |
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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28. |
M. I. Anchekov, Yu. Kh. Khamukov, O. V. Nagoeva, D. Y. Zaporozhets, A. A. Lezhebokov, “Multi-agent genetic algorithm for solving knowledge extraction problem”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 12–19 |
29. |
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 |
30. |
M. I. Anchekov, V. V. Bova, O. V. Nagoeva, A. A. Novikov, I. A. Pshenokova, “Evolutionary approach to creating a neural network
model of collective decisions of intellectual tasks”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 5, 24–30 |
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31. |
A. N. Dukkardt, M. I. Anchekov, Z. V. Nagoev, A. U. Zammoev, O. V. Nagoeva, Yu. Kh. Khamukov, “Task allocation in distributed artificial intelligence using collective behavior models”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 1, 16–22 |
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32. |
M. I. Anchekov, O. V. Nagoeva, O. B. Makarevich, Yu. Kh. Khamukov, D. G. Tokmakova, “Interactive multimodal training
of cognitive self-organizing systems
of natural language control over missions
of multiagent robots”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 1, 9–15 |
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2013 |
33. |
M. I. Anchekov, “Cognitive visualization of the reasoning process
of modeling self-organizing multi-agent systems”, News of the Kabardin-Balkar scientific center of RAS, 2013, no. 6-1, 7–12 |
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2012 |
34. |
M. I. Anchekov, “Evolutionary tutoring in neuronal multiagent networks”, News of the Kabardin-Balkar scientific center of RAS, 2012, no. 2, 56–61 |
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2011 |
35. |
M. I. Anchekov, “Concept of multiagent neural network”, News of the Kabardin-Balkar scientific center of RAS, 2011, no. 1, 15–19 |
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2006 |
36. |
Z. V. Nagoev, M. I. Anchekov, “Virtual physically-correct agent’s antagonist muscles neuro-evolutionary control”, News of the Kabardin-Balkar scientific center of RAS, 2006, no. 2, 67–74 |
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Organisations |
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