Meaning representation refers to the way information is structured and organized to convey meaning in a clear and understandable manner. It involves using symbols, words, or other forms of expression to represent concepts, ideas, or relationships. This can be seen in various fields, such as linguistics, artificial intelligence, and cognitive science, where understanding how meaning is formed and communicated is essential. In artificial intelligence, meaning representation plays a crucial role in enabling machines to understand and process human language. Techniques like semantic networks, ontologies, and frame representation are used to create models that capture the relationships between different concepts, allowing AI systems to interpret and generate meaningful responses.