CST 6303 - Artificial Intelligence Methods

Credits: 3 hrs

Presents the AI techniques necessary for an agent to act intelligently in the “real” world. The theory of artificial intelligence and application of the principles of artificial intelligence to problems that cannot be solved, or cannot be solved efficiently, by standard algorithmic techniques. Emphasizes the formal basis of automated reasoning and includes an introduction to programming in Prolog. Fundamentals covered include neural networks, pattern recognition, search, knowledge representation, automated inference, planning, machine learning, uncertainty reasoning, reasoning about belief and vision. Applications include agent architectures, expert systems and natural language processing. Prerequisite(s): Admission to the MCST graduate program and advisor approval