Abstract
Currently, the essence of intelligence and, accordingly, the mechanisms of its implementation are represented in two ways. In the first case, it is based on speculative conclusions, dressed in one or another mathematical form. In the second case, it is based on a biological model of intelligence, formed in living systems in the process of evolution and adaptation to changing external influences. The nervous system of living organisms is the biological embodiment of intelligence. The greatest perfection of intelligence shows in the organization of motion control. The article deals with the origins and basic provisions of the biological theory of levels of human movement regulation. This theory was proposed by the Russian scientist Bernstein, one of the founders of biomechanics. It is shown how the new neural structures (layers) appeared in the process of evolution and complication of the movements of living organisms. These structures, receiving information from sensory fields, formed the corresponding “semantic” behavior models and control commands for their implementation. Features of formation and functioning of layers, mechanisms of their interaction are considered. Based on analysis of the formation of control signals in the organization of motion control, the principles of intelligent information processing are formulated. Examples of the implementation of these principles in the intelligent control system are given. The results show the relevance of the scientific Bernstein’s principles for the development of intelligent system.
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Suyatinov, S. (2019). Bernstein’s Theory of Levels and Its Application for Assessing the Human Operator State. In: Dolinina, O., Brovko, A., Pechenkin, V., Lvov, A., Zhmud, V., Kreinovich, V. (eds) Recent Research in Control Engineering and Decision Making. ICIT 2019. Studies in Systems, Decision and Control, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-030-12072-6_25
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DOI: https://doi.org/10.1007/978-3-030-12072-6_25
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