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• W4385641987 abstract "This chapter deals with the synthesis of the central nervous system for SEMS modules. It is shown that the use of the central nervous system in SEMS allows them to independently formulate goals and successfully fulfill them without human intervention. The problems of formalizing the linguistic meaning of a language are discussed, namely alphabets and rules for constructing signs (words) from letters, from signs of sentences, as well as rules for understanding the meaning of sentences, forming new sentences and transferring them to others. Proposed logical-probabilistic and logical–linguistic methods of forming images based on sensory data and creating a language of sensations of robots. Methods, algorithms and systems for image classification in the central nervous system are described. Particular attention is paid to the problems of endowing SEMS with elements of the psyche when making decisions as part of human–machine systems. It is shown that on the basis of the proposed algorithms for taking into account the influence of the emotions of “pleasure” and “self-preservation” by processing the SEMS sensory signals and analyzing statistical data and computer simulation results, it is possible to form optimal routes for mobile SEMS, taking into account these emotions of passengers. This eliminates conflict situations between members of human–machine systems. The existing types of classifications of human temperament are analyzed. It has been shown that it is advisable to use three methods for classifying human temperament in the SEMS of the CNS. Constitutional, based on the analysis of human images. Interactive, based on the analysis of a person's answers to the questions of the questionnaire. Behavioral, based on the analysis of the characteristics of human behavior in various situations. In this case, the choice of the type of temperament of the diagnosed person can be carried out on the basis of the choice of the maximum degree of belonging of a person to a certain type of temperament after using all three types of classification. The results of computer simulation of driving a car along a given route by drivers of different temperaments with a robot-assistant (navigator) for the minimum time for passing the route without accidents and without exceeding the maximum speed are presented. It is shown that taking into account the driver's temperament allows minimizing the time of accident-free passage of the route, and not taking into account the temperament can lead to accidents when cornering." @default.
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• W4385641987 date "2023-01-01" @default.
• W4385641987 modified "2023-09-27" @default.
• W4385641987 title "Central Nervous System" @default.
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• W4385641987 doi "https://doi.org/10.1007/978-3-031-36052-7_2" @default.
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