Currently, there are general mathematical models that allow calculating the simplest emotional education of a robot. Using these models, computer programs are implemented, for example, VibraImage by Elsys, which сalculates the simplest emotional upbringing based on the microvibrations of a person's head placed in front of a computer's webcam. However, it is not always possible to use the VibraImage program in specific situations. The purpose of this article is to describe an algorithm and software application for calculating the parameters of the simplest emotional upbringing of a robot according to the amplitude of a sound incentives acting on the robot. A formula is obtained for the simplest emotional education of a robot using the amplitude of the sound signal affecting the robot, as well as the ratio for evaluating the parameters of the simplest education of work. A computer program is described that allows one to calculate elementary education, memory coefficient and ultimate education of a robot using an audio file, which is a sound signal affecting the robot. The nature of the relationship between the parameters of the simplest upbringing and the length of the sampling step is determined. Identified the most suitable value for the sampling step length.
Keywords: robot, education, memory coefficients, amplitude of a sound signal, mathematical model, psychology of robots, limiting education, elementary education, computer program, sampling frequency
The article offers schemes and models that allow using formal parameters and procedures to expand the capabilities of cognitive modeling and increase the level of adequacy of decisions made based on the results of modeling. The paper presents various variants of modeling schemes, which allows the researcher to perform a more versatile analysis of the system, including the analysis of dynamic effects, as well as the selection of parameters of control actions that provide the desired level of system response.
Keywords: dynamic influence, control, simulation, formal cognitive model, formal neurocognitive network of f-euroconcept