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Imagine a computer algebra system evaluating the derivative of the expression “x^2 + 3x.” Instead of plugging in values, the system manipulates the symbols directly to derive “2x + 3.” This process involves recognizing the algebraic structure and applying differentiation rules symbolically, rather than numerically evaluating the function.

Symbolic computation involves manipulating symbols and expressions rather than just numbers. It allows computers to handle mathematical expressions in a way that mimics human intuition—performing algebraic transformations, solving equations, and reasoning about abstract structures. This approach is essential in fields like artificial intelligence, where developing systems that reason about knowledge often requires operating on symbols and symbolic representations.

Lisp (short for “LISt Processing”) is a family of programming languages, originally developed in the late 1950s by John McCarthy. Known for its unique, parenthesis-heavy syntax and powerful features for symbolic computation and recursive functions, Lisp has been influential in artificial intelligence research and the development of programming language theory.