The goal of Artificial Intelligence (AI) is to provide systems with the ability to autonomously solve problems and reason with uncertain information. This course provides an introduction to the methods and tools of AI. Topics include: problem solving (search spaces, uninformed and informed search, games, constraint satisfaction), principles of knowledge representation and reasoning (propositional and first-order logic, logical inference, planning), and representing and reasoning with uncertainty (probabilistic inference, reinforcement learning, decision theory).
Location and Time
Mon/Wed 2:00PM - 3:15PM, Phys-Atmos Sci, Room 414
Prof. Clayton T. Morrison
- Email: claytonm at email dot arizona dot edu
- Office: Harvill 437A
- Office Hours: Mon/Wed 11am-noon (email 12hrs ahead of time!)