This document appears to be a syllabus for a Qualifying Exam in Artificial Intelligence at Stanford University from 1980. It outlines the range of knowledge expected of Ph.D. candidates in Artificial Intelligence, covering a wide array of topics from the mechanics of the examination, to various aspects of AI such as knowledge engineering, game playing, natural language, and philosophical implications. The syllabus also includes a list of readings and references for each topic, emphasizing that these are not required but are intended to guide students in their studies.
Key takeaways:
The document is a syllabus for a Qualifying Exam in Artificial Intelligence at Stanford University from 1980.
The syllabus covers a wide range of topics in AI, including mechanics of the examination, knowledge engineering, game playing, natural language, vision, physical manipulation, and philosophical implications, among others.
The examination is an individually-scheduled oral exam before a committee consisting of faculty and senior research staff. The exam aims to assess the student's knowledge and understanding of AI.
The syllabus emphasizes that it is not a fixed list of readings but a guide to present the range of knowledge expected of Ph.D. candidates in AI. It encourages students to select a reasonable number of readings to fill any knowledge gaps.
