Symbolic programming
In computer programming, symbolic programming is a programming paradigm in which the program can manipulate its own formulas and program components as if they were plain data.[1]
Through symbolic programming, complex processes can be developed that build other more intricate processes by combining smaller units of logic or functionality. Thus, programs can effectively modify themselves and appear to "learn", making themselves suited for applications such as artificial intelligence, expert systems, natural language processing, and computer games.
Languages that support symbolic programming include LISP and Prolog.[2]
References
- ^ Michael A. Covington (2010-08-23). "CSCI/ARTI 4540/6540: First Lecture on Symbolic Programming and LISP" (PDF). University of Georgia. Archived from the original (PDF) on 2012-03-07. Retrieved 2014-12-29.
- ^ "Symbolic programming on Business Glossary". allbusiness.com. Retrieved 2013-11-20.
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