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.

中文翻译：

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人工智能语言的演变，系统的文献综述

近年来，人工智能（AI）领域无疑受到了广泛关注。人们正在采用AI为医学，工程学，教育，政府和其他几个领域的问题提供解决方案。为了分析AI领域的研究现状，我们提供了系统的文献综述，重点是AI编程语言的发展。我们通过搜索SCOPUS，IEEE Xplore和Google Scholar等相关数据库来遵循系统的文献综述方法。EndNote参考管理器用于对相关摘录进行分类。我们的搜索总共返回了6565个文档，其中保留了69个研究。在69份保留的研究中，有15篇文档讨论了LISP编程语言，另外34篇讨论了PROLOG编程语言，其余20个文档分布在逻辑和面向对象编程（LOOP），ARCHLOG，带约束的本体论语言（EOLC），Python，C ++，ADA和JAVA编程语言之间。这篇综述提供了有关所讨论的每种AI编程语言的实施年份，开发团队，功能，局限性和应用的信息。本文中的信息可以指导AI的从业人员和研究人员正确选择语言，以实现其新颖的AI方法。讨论的每种AI编程语言的局限性和应用。本文中的信息可以指导AI的从业人员和研究人员正确选择语言，以实现其新颖的AI方法。讨论的每种AI编程语言的局限性和应用。本文中的信息可以指导AI的从业人员和研究人员正确选择语言，以实现其新颖的AI方法。