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symbolic programming : ウィキペディア英語版
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.
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", what makes them better suited for applications such as artificial intelligence, expert systems, natural language processing, and computer games.
Languages that support symbolic programming include Wolfram Language,〔(Wolfram Language Notes for Programming Language Experts )〕 LISP, and Prolog.〔(【引用サイトリンク】 Symbolic programming on Business Glossary )
== References ==


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「symbolic programming」の詳細全文を読む



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