Neurocognitive learning algorithm for a multi-agent system for evolutionary modeling of gene expression according to PCR analysis of plants

Z.V. Nagoev, M.I. Anchekov, Zh.Kh. Kurashev, A.A. Khamov

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Abstract: The work is aimed at creating a methodology for using general artificial intelligence systems to manage the process of creating new plant hybrids with a given set of economically useful traits. The basic principles for creating plant simulation models based on multi-agent modeling based on enlarged conditional cell agents, the synthesis of whose behavior is carried out by the controling neurocognitive
architecture, have been developed. The basic principles for creating an automatic data collection system for evolutionary machine learning of intelligent expert systems for breeding and seed production based on robotic digital phenotyping and genetic data have been developed. An algorithm has been developed for training a decentralized system for controlling the growth and development of plant simulation models based on the identification of phenogenotypic characteristics of growth and development processes determined by the expression of plant genes.

Keywords: artificial general intelligence, multi-agent systems, neurocognitive architectures, plant breeding, gene expression, machine learning, digital phenotyping

For citation. Nagoev Z.V., Anchekov M.I., Kurashev Zh.Kh., Khamov A.A. 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 RAS. 2023. No. 6(116). Pp. 179–192. DOI: 10.35330/1991-6639-2023-6-116-179-192

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Information about the authors

Nagoev Zalimkhan Vyacheslavovich, Candidate of Technical 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
Anchekov Murat Inusovich, Researcher of the Laboratory “Molecular Breeding and Biotechnology”, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360000, Russia, Nalchik, 224 Kirov street;
murat.antchok@gmail.com, ORCID: https://orcid.org/0000-0002-8977-797X
Kurashev Zhiraslan Hautievich, Head of the Laboratory “Molecular Breeding and Biotechnology”, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360000, Russia, Nalchik, 224 Kirova street;
ORCID: https://orcid.org/0000-0001-9442-6122
Khamov Anzor Azamatgerievich, Junior Researcher of the Laboratory “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