Symbolic programming is a conceptual framework for developing algorithms based on the idea that formulas and program components can be manipulated as if they themselves are data.[1] In languages such as LISP and Prolog that support the symbolic programming paradigm, variables may reference portions of programmed functionality in addition to static data.[2] Through symbolic programming, complex processes can be developed that build other more intricate processes by dynamically combining smaller units of functionality.
