Description:
Graduate-level introduction to methods of artificial intelligence. Strong focus on the fundamental theories, algorithms, and techniques required for designing adaptive, intelligent systems that make optimal use of available information and time. Covers a wide range of topics including search, probabilistic reasoning, machine learning, computational game theory, and natural intelligence.