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, such programs can effectively modify themselves and appear to "learn", which makes them better suited for applications such as artificial intelligence, expert systems, natural language processing, and computer games.
Languages that support symbolic programming include homoiconic languages such as Wolfram Language,[2] Lisp, Prolog,[3] and Julia.
See also
[edit ]References
[edit ]- ^ Michael A. Covington (2010年08月23日). "CSCI/ARTI 4540/6540: First Lecture on Symbolic Programming and LISP" (PDF). University of Georgia. Archived from the original (PDF) on 2012年03月07日. Retrieved 2014年12月29日.
- ^ Wolfram Language Notes for Programming Language Experts
- ^ "Symbolic programming on Business Glossary". allbusiness.com. Retrieved 2013年11月20日.
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