Psychological mechanism of language cognition to "awaken" artificial intelligence.

Abstract

The study of artificial intelligence needs tracing back to the working mechanism of the human brain, and based on simulating brain cognition activity, information technology is the most widely influential technology. Language cognition is the core and foundation of human cognition. Biolinguistics' core problem about brain mechanisms (a psychological mechanism) is related to the development of human language cognition in that the cognitive process of humans is from the construction of mediation and language is the very cognitive mediation. The logical law of human language cognition algorithm is about the process of human cognitive psychology that is from the neurological stage, the psychological perception stage, and to the cognitive stage of symbols, which makes psychological certainty account for the connection from mental content to language meaning. Language cognition is where the "awakening" of artificial intelligence begins. First of all, humans produce mental images based on sensory perception and categories. The referential functions of mental images extend the human cognitive scope. Then, categorization is realized through the mediation of mental images. At the time the category is formed, the symbol is required. Language is involved in the thinking process in the cognitive stage of symbols to realize the construction of the mediation to represent the category abstracted from the concrete things. Above all, human language metacognition is realized from the subject-predicate structure that is the grammatical structure on the surface but is throughout the whole process of human rational knowledge and configures the content of rational knowledge, which is the developmental goal of "awakening" artificial intelligence. The demonstration of this proposition is conducive to providing a theoretical basis for the research of the working mechanism of the human brain stimulated by artificial intelligence. (PsycInfo Database Record (c) 2022 APA, all rights reserved).