|
|
Publications in Math-Net.Ru |
Citations |
|
2023 |
1. |
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 |
2. |
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 |
2
|
|
2022 |
3. |
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 |
1
|
4. |
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 |
2
|
|
Organisations |
|
|
|
|