Abstract
Hunter College teaches introductory AI as a one semester, advanced undergraduate elective that focuses on issues in three areas: state-space search and control, knowledge representation, and Lisp. The search component defines AI methodology and conveys how the computing world views the field; knowledge representation illustrates how AI sees the real world; and Lisp shows how to make AI happen. The history and format of the course as it has evolved over a period of fifteen years is covered, along with a description of the course content today and a rationale for teaching AI from this perspective.
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