Course Description: This CS494/594 course on Artificial Ingelligence (AI) covers the breadth of the field of AI, including topics such as problem-solving, logic, planning, reasoning, learning, perception, and robotics. We define AI as the study of intelligent agents that receive percepts from the environment and perform actions. We will cover different ways to represent the mapping of percept sequences to actions, such as production systems, reactive agents, real-time conditional planners, neural networks, and decision-theoretic systems. Our primary aim is to convey the ideas that have emerged over the past fifty years of AI research.

Prerequisites: Familiarity with basic concepts of computer science (algorithms, data structures, and complexity), and mathematical maturity commensurate with CS380 or equivalent.

Instructor: Prof. Lynne E. Parker

• Office: Claxton 220
• Email: parker at eecs dot utk dot edu
• Office Hours: Tuesday/Thursday, 11AM-12PM, 2-3PM

TA (10 hrs/wk): Nick Overfield

• Office: Claxton 125
• Email: noverfie at utk dot edu
• Office Hours: Monday, 2-3:30PM; Wednesday, 1:30-2:30PM

TA (10 hrs/wk): Kristy Van Hornweder

• Office: Claxton 122c
• Email: kvanhorn at eecs dot utk dot edu
• Office Hours: Tuesday/Thursday, 4-5PM; Wednesday, 3:30-4:30PM

• Artificial Intelligence: A Modern Approach, Second Edition, by Russell and Norvig, Prentice Hall, 2003.