Geodesic
Collaborative breeding system based on a consortium
News of the Kabardin-Balkar scientific center of RAS, no. 5 (2022), pp. 25-37

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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. 
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     author = {M. I. Anchekov and Z. I. Bogotova and I. A. Pshenokova and Z. V. Nagoev and B. R. Shomakhov},
     title = {Collaborative breeding system based on a consortium},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {25--37},
     publisher = {mathdoc},
     number = {5},
     year = {2022},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2022_5_a2/}
}
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M. I. Anchekov; Z. I. Bogotova; I. A. Pshenokova; Z. V. Nagoev; B. R. Shomakhov. Collaborative breeding system based on a consortium. News of the Kabardin-Balkar scientific center of RAS, no. 5 (2022), pp. 25-37. http://geodesic.mathdoc.fr/item/IZKAB_2022_5_a2/