This course introduces advanced issues and approaches of artificial intelligence
topics, including logic programming, computational learning theory, machine learning
(supervised, unsupervised, and reinforcement learning), search-oriented problem solving
techniques, computer perception and robotics, speech understanding, knowledgebase
systems and reasoning about Knowledge, planning and temporal reasoning, inference and theorem proving, reasoning under uncertainty, principles of intelligent agents,
reactive, goal-based, and utility-based agents.​