Ways of developing artificial intelligence in biomachine systems for animal husbandry

The control of complex biomachinery systems in livestock farming is possible with the help of artificial intelligence technologies. The ‘conscious artificial intelligence’ function for adaptive interaction with biological objects (animals) can take into account more accurately their neurocognitive abilities, reflexes, intentionality of behaviour, occurrence of ‘machine fear’ at the initial stage of accustoming to the technology and others. The research aim is to improve the quality of controlling complex biotechnical systems in livestock farming based on artificial intelligence technologies. The author considered the controversial problem of the need for strong artificial intelligence in future machines. An assumption was made that physical (lever, wheel, mechanism, and machine) and cognitive (calculator, smartphone, and computer, etc.) ‘boosters’ of human functionality should unite again in a new smart machine in the form of strong intelligence and universal physical capabilities (robot + strong AI = artificial human). The paper presents a principal diagram of evolutionary development of physical (mechanization, automation, and robotization) and cognitive (informatization, algorithmicization, digitalization, and artificial intelligence) ‘boosters’ of a human being. The author proposes a structural and functional chart of livestock farm management as a complex biomass system ‘Man-Machine-Animal-Product-Environment’ with the use of AI. Three criterion groups of quality assessment of this biosystem functioning have been identified: 1) quality indicators of technological process control in local biosystems of milking, feeding, etc.; 2) indicators of genomic evaluation, productivity and physiological state of animals; 3) economic and ecological indicators of farm management quality as a whole. Logic algebra helped obtain the corresponding structural and functional models of their construction.