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This article describes the features of artificial intelligence problems that have affected the design of artificial intelligence languages. It describes ways in which artificial intelligence languages have been developed to cope with these features. It explains the role of the programming environment in which the artificial intelligence researcher works and how it is closely coupled with the languages he is using. Finally, some lessons that software engineering can draw from the artificial intelligence experience in using such environments are described.