👉 Symbolic computing is a computational paradigm that represents data and operations using symbols, allowing for the manipulation of abstract concepts and logical expressions. Unlike numerical computing, which relies on precise numerical values, symbolic computing uses algebraic structures to handle variables, functions, and equations symbolically. This approach enables the representation of complex problems in a more intuitive and human-readable form, facilitating tasks such as symbolic differentiation, integration, and solving equations. By leveraging the power of logic and algebra, symbolic computing is particularly useful in fields like artificial intelligence, automated reasoning, and formal verification, where understanding and manipulating symbolic representations is crucial.
