{'fraction_non_alphanumeric': 0.016923076923076923, 'fraction_numerical': 0.0, 'mean_word_length': 5.08411214953271, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Teaching introductory AI from first principles

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.