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The project is based on the idea of prediction of the behavior of biological agents and transferring their behavior patterns to non-biological ones. Observing biological species in a closed system allows us to identify the patterns of their behavior. The example of a closed system is the aquarium with beluga whales where they are placed for commercial shows or scientific research. Such a replacement of the natural environment with an artificial one is directly reflected in the patterns of their behavior and interaction with each other. Neural network technologies make it possible to analyze and transfer the audial characteristics of a biological agent to a non-biological one. The patterns of beluga movements are analyzed too and reproduced using machine learning algorithms. This makes it possible to transfer the characteristics of biological agents to non-biological ones, building a closed system for their interaction and research. In the process of transmission, part of the data or internal principles is interpreted incorrectly or recreated with interference, and certain features of behavior may be only a presumption of algorithms. However, the kinematic and auditory characteristics of biological and nonbiological agents become similar, posing us with a question about the characteristics of interspecific communication of biological and nonbiological agents.
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