  The field of Artificial Intelligence (AI) has undoubtedly received
significant attention in recent years. AI is being adopted to provide solutions
to problems in fields such as medicine, engineering, education, government and
several other domains. In order to analyze the state of the art of research in
the field of AI, we present a systematic literature review focusing on the
Evolution of AI programming languages. We followed the systematic literature
review method by searching relevant databases like SCOPUS, IEEE Xplore and
Google Scholar. EndNote reference manager was used to catalog the relevant
extracted papers. Our search returned a total of 6565 documents, whereof 69
studies were retained. Of the 69 retained studies, 15 documents discussed LISP
programming language, another 34 discussed PROLOG programming language, the
remaining 20 documents were spread between Logic and Object Oriented
Programming (LOOP), ARCHLOG, Epistemic Ontology Language with Constraints
(EOLC), Python, C++, ADA and JAVA programming languages. This review provides
information on the year of implementation, development team, capabilities,
limitations and applications of each of the AI programming languages discussed.
The information in this review could guide practitioners and researchers in AI
to make the right choice of languages to implement their novel AI methods.
