👉 Representational computing is a computational paradigm that focuses on the creation, manipulation, and understanding of data representations rather than direct manipulation of raw data. It emphasizes the use of models and structures to encode information in a way that facilitates reasoning, inference, and decision-making processes. By representing data through various forms like graphs, trees, vectors, or other abstract structures, computational systems can more effectively process complex relationships and perform tasks such as machine learning, natural language processing, and computer vision. This approach enhances the ability of machines to interpret and interact with the world by abstracting away from low-level details, making it easier to design algorithms that can generalize and adapt to new situations.
