Nagoev Z., Pshenokova I., Gurtueva I., Bzhikhatlov K., “A simulation model for the cognitive function of static objects recognition based on machine-learning multi-agent architectures”, Advances in Intelligent Systems and Computing, 948 (2020), 370-378
Nagoev Z.V., Nagoeva O.V., Pshenokova I.A., Gurtueva I.A., “Multi-agent model of semantics of simple extended sentences describing static scenes”, Lecture notes in computer science, 2019, 245-259
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
K. Ch. Bzhikhatlov, I. A. Pshenokova, O. V. Nagoeva, “Cooperative interaction of participants in a heterogeneous team
of autonomous agents using neurocognitive models
of coordinated behavior”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2023, no. 6, 132–141
4.
I. A. Pshenokova, A. Z. Apshev, “Energy exchange model between agneurons as part
of multi-agent neurocognitive architecture”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2023, no. 5, 32–40
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
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
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.
I. A. Pshenokova, O. V. Nagoeva, A. Z. Apshev, A. Z. Enes, “Formation of dynamic cause-and-effect relationships when controlling
the behavior of an intelligent agent based
on the multi-agent neurocognitive architectures formalism”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022, no. 5, 73–80
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
I. A. Pshenokova, “Basic methods and approaches
to artificial consciousness modeling”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022, no. 2, 72–81
11.
A. M. Ksalov, K. Ch. Bzhikhatlov, I. A. Pshenokova, A. U. Zammoev, “Development of a transport subsystem for autonomous robots for plant protection system”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022, no. 2, 31–40
Z. V. Nagoev, I. A. Pshenokova, O. V. Nagoeva, “Automatic reconstruction of the character
and temperament of users based on multi-agent
training of neurocognitive models of the conscious
and unconscious according to data on user
behavior in the internet”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2021, no. 6, 66–77
Z. V. Nagoev, I. A. Pshenokova, K. Ch. Bzhikhatlov, S. A. Kankulov, “Simulation model of an intelligent control system
for the agricultural grip manipulator
based on the multi-agent neurocognitive
architectures training”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2021, no. 4, 28–37
14.
Z. V. Nagoev, I. A. Pshenokova, S. A. Kankulov, B. A. Atalikov, A. A. Airan, “Multi-agent search formal model for an
intelligent agent optimal behavior plan based
on distributed neurocognitive
architectures self-organization”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2021, no. 3, 21–31
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
Z. V. Nagoev, K. Ch. Bzhikhatlov, I. A. Pshenokova, O. V. Nagoeva, B. A. Atalikov, N. A. Chechenova, D. A. Malyshev, “Autonomous formation of spatial ontologies
in the intelligent decision-making system of a mobile agricultural robot based on the self-organization
of multi-agent neurocognitive architectures”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2020, no. 6, 68–79
I. A. Pshenokova, O. V. Nagoeva, I. A. Gurtueva, A. A. Airan, “Learning algorithm for an intelligent
decision making system based on multi-agent
neurocognitive architectures”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2020, no. 3, 23–31
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
I. A. Pshenokova, N. A. Chechenova, L. B. Kokova, “Algorithm for modeling the cognitive function of the emotional assessment of situations based on the training of multi-agent neurocognitive architectures”, News of the Kabardin-Balkar scientific center of RAS, 2019, no. 6, 75–81
20.
I. A. Pshenokova, “Modern state of research in the theory of targeted collective behavior of intellectual robots group”, News of the Kabardin-Balkar scientific center of RAS, 2019, no. 3, 23–30
21.
Z. V. Nagoev, O. V. Nagoeva, I. A. Pshenokova, “Multi-agent neurocognitive models of semantics of spatial localization of events”, News of the Kabardin-Balkar scientific center of RAS, 2019, no. 2, 11–23
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
2018
23.
I. A. Pshenokova, “Modeling of the process of discussion in the
multiagent system for the formation of the plan
of actions in the adoption of intelligent decisions”, News of the Kabardin-Balkar scientific center of RAS, 2018, no. 6-3, 83–88
24.
Z. V. Nagoev, I. A. Pshenokova, “Model of approximation of multidimensional
functions based on the apparatus
of multi-agent existential mappings”, News of the Kabardin-Balkar scientific center of RAS, 2018, no. 6-3, 34–40
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
26.
I. A. Pshenokova, “The simulation modeling of the ambient intelligence systems based on self-organizing multi-agent recursive cognitive architecture”, News of the Kabardin-Balkar scientific center of RAS, 2018, no. 3, 21–27
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
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
Z. V. Nagoev, O. V. Nagoeva, I. A. Pshenokova, “A formal model of semantics of natural language utterances on the basis of multiagent recursive cognitive architectures”, News of the Kabardin-Balkar scientific center of RAS, 2017, no. 4, 19–31
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
31.
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
D. G. Makoeva, I. A. Pshenokova, A. M. Ksalov, F. M. Goshokova, “Linguistic justification of the formalization model of natural language utterances based on multi-agent recursive cognitive architecture”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 117–121
33.
A. A. Lezhebokov, V. V. Bova, F. M. Goshokova, V. A. Denisenko, A. M. Ksalov, I. A. Pshenokova, “Informational support subsystem for virtual
prototyping in design of complex equipment”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 105–111
34.
Yu. A. Kravchenko, D. Yu. Kravchenko, E. V. Kuliev, O. V. Nagoeva, I. A. Pshenokova, “Knowledge management architecture
in intelligent transport systems”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 93–99
35.
V. A. Denisenko, I. A. Pshenokova, Yu. Kh. Khamukov, “Neurophysiological algorithms
of visual analyzer in the brain”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 66–72
36.
A. À. Boshkyakov, I. E. Metasov, M. A. Shereuzhev, I. A. Pshenokova, L. Z. Shautsukova, “Mathematical model of control of virtual
model of anthropomorphic gripper”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 38–46
37.
M. M. Oshkhunov, Z. V. Nagoev, Yu. Kh. Khamukov, I. A. Pshenokova, F. M. Goshokova, “Estimation of some parameters of mobile parts
of integrated virtual prototype of mobile uniaxial
(single-axis) robot in extreme situations”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 5, 38–43
38.
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
M. M. Oshkhunov, Z. V. Nagoev, Kh. M. Senov, Yu. Kh. Khamukov, I. A. Pshenokova, “Models of evaluation of extreme loads of integrated
virtual prototypes of mobile uniaxial robots”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 1, 50–54
40.
M. M. Oshkhunov, Z. V. Nagoev, Kh. M. Senov, Yu. Kh. Khamukov, I. A. Pshenokova, “Methods for calculating the strength
characteristics of virtual prototypes of uniaxial
robots under the influence of extreme mechanical
and thermal loads”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 1, 42–49
2014
41.
Yu. A. Kravchenko, M. M. Asanov, F. M. Goshokova, I. A. Pshenokova, M. M. Oshkhunov, “Data representation model based
on fractals aggregating mechanism”, News of the Kabardin-Balkar scientific center of RAS, 2014, no. 6, 52–57
42.
E. V. Nuzhnov, V. A. Denisenko, I. A. Pshenokova, A. M. Kagazezhev, A. A. Kokov, F. M. Goshokova, “Technologies of rapid prototyping
to improve efficiency of design processes”, News of the Kabardin-Balkar scientific center of RAS, 2014, no. 5, 49–55
2013
43.
Z. V. Nagoev, V. Ch. Kudaev, M. M. Oshkhunov, I. A. Pshenokova, “Ontoneuromorphogenetic modeling of virtual prototypes in integrated cads on a basis of multiagent
knowledge and bioinspired algorithms”, News of the Kabardin-Balkar scientific center of RAS, 2013, no. 6-1, 46–53
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