Symbolic AI is a type of artificial intelligence that uses symbols to represent concepts and logic to process them. It relies on explicit knowledge representation (like facts and relationships) and logical rules to reason through problems. This approach is about manipulating symbols and involves higher-level reasoning, like using if-then rules, logic trees, or semantic networks to understand relationships. Symbolic AI aims to represent and work with human knowledge and reasoning structures, making it suitable for tasks like language processing, expert systems, and formal problem-solving.