Abstract
Due to the requirement of behavior intellectualization of artificial entities, we have to revise logical and mathematical abstractions in the basis for constructing their onboard control systems. The problem of developing such systems based on the pattern theory is relevant. This provides transfer of effective experience and compatibility of the theological approach and the cause-and-effect approach. The paper considers the problems of pattern identification and modeling. It is proposed to use four positions of information processing for these purposes. There also is the developed method of logical inference on patterns. The approach allows you to transfer the successful experience of a person to the robot control system. The robot’s behavior becomes predictable and understandable. To transfer successful experience, a formal model of human behavior pattern is proposed. An approach to pattern model identification is proposed. The approach is focused on mathematical modeling of the observer’s subjective judgments about the truth of the model of the pattern of the successful experience carrier object. It is proposed to use four observation positions.
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Vinogradov, G.P., Konyukhov, I.A., Kupriyanov, K.V. (2020). Patterns in Navy Systems Using Autonomous Robotic Systems When Running Missions. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Perspectives in Intelligent Systems. CoMeSySo 2020. Advances in Intelligent Systems and Computing, vol 1295. Springer, Cham. https://doi.org/10.1007/978-3-030-63319-6_19
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