This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of the course, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.
Over 25 hours of video;
23 lecture videos;
6 assignments and mega-recitations.
Winston, Patrick Henry. Artificial Intelligence. 3rd ed. Addison-Wesley, 1992.
Patrick Henry Winston is Ford Professor of Artificial Intelligence and Computer Science at the Massachusetts Institute of Technology. He has been with CSAIL and before that the MIT Artificial Intelligence Laboratory since 1967. Professor Winston is particularly involved in the study of how vision, language, and motor faculties account for intelligence. He also works on applications of Artificial Intelligence that are enabled by learning, precedent-based reasoning, and common-sense problem solving. Professor Winston is working on a major new research and educational effort, the Human Intelligence Enterprise, which will bring together and focus research from several fields, including Computer Science, Systems Neuroscience, Cognitive Science, and Linguistics.
Artificial Intelligence by Partik Winston is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike. Based on work at MIT Open CourseWare.