The principle topics of AI are: representation knowledge, reasoning and problem solving, knowledge acquisition and machine learning, robotics, and natural language understanding. This course surveys these areas in order to provide an understanding of artificial intelligence methods and research problems. Specific topics include: action and object-centered representations, the search paradigm, planning and constraint satisfaction, qualitative reasoning, analogical reasoning, default reasoning, induction, other methods of learning, and knowledge engineering.
Prerequisites: CS 1573 or consent of instructor
Recitations: none
Expected class size: 15-20 students
Frequency: This course is usually offered in the fall term.
Credits: 3