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This article is cited in 2 scientific papers (total in 2 papers)
Information Technologies and Telecommunications
Collaborative breeding system based on a consortium
of heterogeneous intelligent agents
M. I. Anchekov, Z. I. Bogotova, I. A. Pshenokova, Z. V. Nagoev, B. R. Shomakhov Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences,
360010, Russia, Nalchik, 2 Balkarov street
Abstract:
The architecture of a human-machine intelligent system has been developed based on a
consortium of intelligent software and cyber-physical agents that perform simulation modeling, decision
making and synthesis of cooperative control of selection and seed production processes. Understanding the
meaningful content and collective decision-making in the production and agrotechnical cycles of breeding and
seed production in systems based on such a computing architecture will be ensured by the work of cooperative
intelligent software agents of general artificial intelligence based on multi-agent neurocognitive architectures.
The developed computational model of a distributed consortium of heterogeneous intelligent agents can be
used to create intelligent expert and collaborative information and control systems that provide a significant
increase in the efficiency of breeding and seed production based on the use of self-learning decentralized
multi-agent neurocognitive systems for controlling the processes of precise selection and seed production.
Keywords:
artificial intelligence, collaborative systems, precise selection, seed production, multi-agent
systems, robots.
Received: 05.10.2022 Revised: 13.10.2022 Accepted: 14.10.2022
Citation:
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
Linking options:
https://www.mathnet.ru/eng/izkab501 https://www.mathnet.ru/eng/izkab/y2022/i5/p25
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Abstract page: | 33 | Full-text PDF : | 17 | References: | 10 |
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