Evolution of artificial intelligence languages – a systematic literature review
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
arXiv
Abstract
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
Description
Keywords
Artificial Intelligence, Programming Language, Python, AI, LISP, PROLOG, PROLOG, Funmilayo S. Moninuola, Oladipupo O. Akintade, Nigeria, Digital Development, Covenant University, CAPiC, ACE: Applied Informatics and Communication