CITS4211 Artificial Intelligence Semester 1, 2013 A/Prof Lyndon While School of Computer Science & Software Engineering The University of Western Australia

AI 2013 Course content Introduction to and history of AI Introduction to and history of AI Intelligent agents Intelligent agents Problem solving Problem solving –Uninformed and informed search, game playing Learning Learning –Decision-making, reinforcement learning Planning and acting Planning and acting Knowledge representation and reasoning Knowledge representation and reasoning –Logic and inference

AI 2013 Contact Lecture Lecture –Thursdays, 2-4pm, GP2 Lab Lab –Wednesdays from Week 2, noon-1pm, 2.01 –Unsupervised: use help4211 for assistance –But feel free to do lab work any time –The School provides free wireless for laptops –Software is open source help4211 help

AI 2013 Assessment Mid-semester test: 15% Mid-semester test: 15% –In the lecture, Week 9 Project: 25% Project: 25% –On-going, due near end of semester Exam: 60% Exam: 60% –June exam period

AI 2013 Texts AI: a Modern Approach AI: a Modern Approach –Russell & Norvig –3 rd edition (but 2 nd edition is fine too) AI: Foundations of Computational Agents AI: Foundations of Computational Agents –Poole & Mackworth

AI 2013 Resources Unit web-site Unit web-site –Notes, lab-sheets, code and docs, etc Announcements will be made Announcements will be made –In lectures –On the web-site –On help4211

AI 2013 Questions What does AI mean to you? What does AI mean to you? Why is it important? Why is it important?