Multiagent model of perceptual space formation in the process of mastering linguistic competence

The model of the early development of language competencies proposed in this paper, takes into account the social factors effects. It is a simulation model of phonemic imprinting. The model describes the process of perceiving audio stimuli as their mapping into classes of elementary language units. The machine learning algorithm was developed using the results of the study of speech addressed to children. Our model will allow to explore the features of phonetic perception, the cognitive mechanisms that underlie language development, highlight the main factors affecting the duration of the plasticity period. The proposed model gives possibilities to build perceptual maps, design diagnostic tools to describe and study the sensitive period. The model can also be used to create speech systems that are resistant to various influences and effective when used in conditions of high noise.