SEMANTIC VARIABILITY AND COGNITIVE STRUCTURES OF ARTIFICIAL INTELLIGENCE TERMINOLOGY IN ENGLISH

Abstract

This article investigates the semantic diversity and cognitive underpinnings of AI terminology, focusing on how terms gain multiple meanings, extend metaphorically, and are represented cognitively by language users. Integrating methods from cognitive linguistics, terminology science, and corpus analysis, the study identifies recurrent patterns of polysemy, conceptual metaphor, and semantic shifts within the AI lexicon. Additionally, it explores the cognitive structures, such as frames and prototypes, that support comprehension and communication of AI concepts.