Advanced Topics in Artificial Intelligence COMP4620
Course overview
Assumed knowledge & required skills
Students are assumed to have solid background knowledge in general computer science (e.g., programming experience; some basic theoretical CS), but no specialist knowledge.
Course description
This is an advanced undergraduate course that covers advanced topics in Artificial Intelligence. Topics vary from one offering to the next and are likely to be drawn from the following list: planning, scheduling, games, search, reasoning (constraint-based, model-based, spatial, temporal), knowledge representation, decision-making under uncertainty, reinforcement learning, agents, foundations.
Course content
See http://cs.anu.edu.au/courses/COMP4620/.
Textbooks
|
Marcus Hutter (2005) Universal Artificial Intelligence, EATCS, Springer. Shane Legg (2008) Machine Super Intelligence, Lulu, PhD thesis |
Workload
30 one hour lectures
