Universal expert system based on ontoepisosociophylogenetic training of federations of intelligent neurocognitive agents
Z.V. Nagoev, M.I. Anchekov, Zh.Kh. Kurashev, O.V. Nagoeva, I.A. Pshenokova, A.A. Khamov
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Abstract. The work is devoted to solve a scientific problem of developing a conceptual justification for the possibility of autonomous training of intelligent expert systems based on ontoepisociophylogenetic training of neurocognitive agents. The aim of the study is to develop basic principles of creating universal expert systems based on ontoepisociophylogenetic training of federated intelligent neurocognitive agents. The basic principles of ontoepisociophylogenetic training of universal federated expert systems have been developed. It is shown that the functional specialization of intelligent agents within a federation, subject to their cooperation in order to maximize the combined increment of the values of the target functions, allows overcoming efficiency limitations. The use of epigenetic algorithms for fixing ontological knowledge of intelligent agents within a federation in generations of evolutionary optimization is substantiated. The possibility of constructing multi-generational populations in order to increase the overall efficiency of a universal expert federated system is substantiated.
Keywords: artificial intelligence, multi-agent systems, neurocognitive architectures, ontoepisociophylogenetic algorithms, machine learning, universal expert systems
For citation. Nagoev Z.V., Anchekov M.I., Kurashev Zh.Kh., Nagoeva O.V., Pshenokova I.A., Khamov A.A. Universal expert system based on ontoepisosociophylogenetic training of federations of intelligent neurocognitive agents. News of the Kabardino-Balkarian Scientific Center of RAS. 2024. Vol. 26. No. 6. Pp. 197–207. DOI: 10.35330/1991-6639-2024-26-6-197-207
References
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- Nagoev Z.V., Bzhikhatlov K.Ch., Zagazezheva O.Z. Neurocognitive methods and algorithms for federated learning of intelligent integrated information and control systems in a real communication environment. Izvestiya YUFU. Tekhnicheskiye nauki [Bulletin of the Southern Federal University. Engineering Sciences]. 2024. No. 1(237). Pp. 111–121. (In Russian)
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Information about the author
Zalimkhan V. Nagoev, Candidate of Engineering Sciences, General Director of the Kabardino-
Balkarian Scientific Center of the Russian Academy of Sciences;
360000, Russia, Nalchik, 37-a I. Armand street;
zaliman@mail.ru, ORCID: https://orcid.org/0000-0001-9549-1823, SPIN-code: 6279-5857
Murat I. Anchekov, Researcher of the Laboratory of Molecular Breeding and Biotechnology,
Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360000, Russia, Nalchik, 37-a I. Armand street;
murat.antchok@gmail.com, ORCID: https://orcid.org/0000-0002-8977-797X, SPIN-code: 3299-0927
Zhiraslan Kh. Kurashev, Head of the Laboratory of Molecular Breeding and Biotechnology,
Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360000, Russia, Nalchik, 224 Kirov street;
ORCID: https://orcid.org/0000-0001-9442-6122, SPIN-code: 8549-2620
Olga V. Nagoeva, Researcher of the Department of Multiagent Systems, Institute of Computer Science
and Problems of Regional Management – branch of Kabardino-Balkarian Scientific Center of the Russian
Academy of Sciences;
360000, Russia, Nalchik, 37-a I. Armand street;
nagoeva_o@mail.ru, ORCID: https://orcid.org/0000-0003-2341-7960, SPIN-code: 9478-3325
Inna A. Pshenokova, Candidate of Physical and Mathematical Sciences, Senior Research of the
Laboratory of Molecular Breeding and Biotechnology, Kabardino-Balkarian Scientific Center of the
Russian Academy of Sciences;
360000, Russia, Nalchik, 37-a I. Armand street;
pshenokova_inna@mail.ru, ORCID: https://orcid.org/0000-0003-3394-7682, SPIN-код: 3535-2963
Anzor A. Khamov, Junior Researcher of the Laboratory of Molecular Breeding and Biotechnology,
Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360000, Russia, Nalchik, 224 Kirov street;
opitnoe2014@mail.ru, ORCID: https://orcid.org/0000-0003-3269-4572