Editing Portal:Artificial Intelligence (section)

=== Early AI-style programming in Perl ===

Before neural networks and LLMs became dominant, much AI programming involved rules, pattern matching, classification, search, and symbolic manipulation. Perl’s regular expressions, hashes, lists, and text-processing style made it well suited for these tasks.

One example is `Chatbot::Eliza`, a Perl module implementing the classic ELIZA-style chatbot pattern. The module describes itself as a faithful implementation of the program described by Joseph Weizenbaum, encapsulated as a Perl object for use inside larger programs.<ref>MetaCPAN, “Chatbot::Eliza,” https://metacpan.org/pod/Chatbot::Eliza, accessed July 3, 2026.</ref> ELIZA-style programs are not intelligent in the modern sense, but they are historically important because they show how natural-language interaction, pattern substitution, and conversational illusion could be explored with relatively simple code.

Perl has also been used as an interface to logic-programming systems. `Language::Prolog::Yaswi` provides a bidirectional interface between Perl and SWI-Prolog, allowing Perl code to call Prolog and Prolog code to call Perl again.<ref>MetaCPAN, “Language::Prolog::Yaswi,” https://metacpan.org/pod/Language::Prolog::Yaswi, accessed July 3, 2026.</ref> Perl.com also published an article on logic programming with Perl and Prolog, discussing `AI::Prolog` as an accessible way to experiment with Prolog-style rules from Perl.<ref>Perl.com, “Logic Programming with Perl and Prolog,” https://www.perl.com/pub/2005/12/15/perl_prolog.html/, accessed July 3, 2026.</ref>

These older interfaces show a recurring Perl pattern: Perl does not need to replace a specialized AI system. It can control it, feed it data, extract results, and integrate those results into real applications.