Artificial Intelligence I
CS 3346A - Fall 2013
Course Website

... Constantly Under Construction, check often.

Instructor

Course related materials (updating frequently)

• Emails sent to the class list: (nothing yet)
• Course Outline
• Textbook: Artificial Intelligence: A Modern Approach,3rd Ed., 2010. by Stuart Russell and Peter Norvig. Here is the website for the textbook. If you have the second edition, you can still use it for this course.
• An online book (as a reference book for the course) can be read here.
• Lecture slides: we will use mostly the lecture slides prepared by the authors of the textbook in our lecture. Download lecture slides (pdf files) here. (recommend to use the 6-slides-per-page version (6pp) for printout).
  Note: these slides are for the second edition of the textbook. They are quite adequate for the third edition, and for our course. The authors have not updated the slides for the third edition yet.
• TA for the course: Rushdi Shams and Maryam Khordad (rshams@uwo.ca and mkhordad@uwo.ca) Consulting hours: Mondays 10:30-11:30 am, and Thursdays 10:30 to 11:30 am. Location: MC 4A.

• (Week 1: week of 9/8):
  Lecture notes: Course outline, Chapter 1: Introduction
  Extra material:
  the movie AI, History of AI, Alan Turing, Eliza, a 1960s computer program that can converse with you, Cleverbot, a recent and good one, IBM's Watson won in Jeopardy! in Feb 2011, Loebner Turing Test, Computers vs the brain, Kurzweil's prediction on computers in the future, and the documentary, DARPA Grand Challenge (see videos for 2005, and 2007 competitions), flying quadcopters, Other great movies with AI components: The Matrix, Minority Report, 2001: A Space Odyssey, ...
  
• (Week 2: week of 9/15):
  Lecture notes: Chapter 2: Agents, Chapter 3: Solving Problems by Search
  Extra material for Chapter 2:
  Robotic vacuum cleaners, AgentWeb, when human becomes a simple reflex agent... (a fascinating movie!), a good travel agent, Uninformed search applets, graph search tools
  9/18: Assignment 1 is ready.
• (Week 3: week of 9/22):
  Lecture notes: Chapter 3.5-3.6: Heuristic Search
  Chapter 4.1-4.2: Local Search
  Extra material: A* algorithm implemented to complete a level of Super Mario; Sudoku: search or deduction?; applet for visualizing different search algorithms; An Applet for local search for the n-queen problem.
  9/25: Assignment 1 is due (by midnight). See (how to submit)
• (Week 4: week of 9/29):
  Textbook (3ed): 4.5 ONLINE SEARCH AGENTS AND UNKNOWN ENVIRONMENTS, Chapter 5: Adversarial Search (Games)
  Extra materials: Rubik's Cube - offline search, online search or what (World Record, how to solve), Checkers is Solved (published in Science, 2007.9); IBM Deep Blue; Play Backgammon; backgammon rules; University of Alberta GAMES Group
• (Week 5: week of 10/6):
  Chapter 5: Adversarial Search (Games) , Chapter 6: CSP
  10/9: Assignment 2 is ready.
• (Week 6-7):
  Dr. Ling is away for conferences. TA will cover the lectures. Slides are here (updated 10/28) and here.
• (Week 8):
  Chapter 13: Uncertainty
  Extra material: Bayesian inference, Bayesian brain, Bayesian reasoning in courtroom, Bayesian SPAM filtering, Microsoft Research on Bayesian modeling
  10/30: Assignment 3 is ready.
• (Week 9):
  Chapter 14a: Probabilistic Reasoning, Chapter 14b: Inference in Bayesian networks
  11/10: Assignment 3 due (extended).
  About Midterm (coverage,and some sample questions)

  11/4: , Assignment 4 (partial) is ready. Trying to solve these questions will help you in the midterm.

• (Week 10):
  Nov 13: In-class Midterm (close book/notes, no calculators. One 8x11 cheat sheet allowed).
• (Week 11):
  Chapter 14b: Inference in Bayesian networks, Chapter 16: Making Simple Decisions
  Extra material: Odds of death, Interesting reading: the utility of Money and Sex, Cost of happiness...