Symbolic programming
In computing, symbolic programming refers to the concept of using programming languages to manipulate formulas and program components as if they themselves are data.[1]
Through symbolic programming, complex processes can be developed that build other more intricate processes by combining smaller units of logic or functionality. Programs can thus effectively modify themselves, and appear to "learn", making them suited for applications such as artificial intelligence, expert systems, natural language processing and computer games.
Languages that support the symbolic programming paradigm include LISP and Prolog.[2]