symbolic classification

Symbolic classification is a method in artificial intelligence and data analysis that involves using symbols, like words or numbers, to categorize and organize information based on clear rules and logic. Unlike some techniques that learn from patterns in data, symbolic classification relies on predefined criteria to sort items into groups. This approach is useful in areas like general knowledge where information can be clearly defined, enabling machines to make decisions based on established rules. It emphasizes transparency and interpretability, making it easier for people to understand how classifications are made.