Notes
Slide Show
Outline
1
Foundations of
Artificial Intelligence
  • Lecturer: Kan Min-Yen
  • Thursdays, 2:00 – 4:00 pm
  • LT 33
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Outline for today
  • Introduction to Artificial Intelligence
  • Course administration
  • Intelligent Agents
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Course administration
  • Teaching staff
  • Web sites
  • Objective
  • Syllabus
  • Assessment overview


  • Any questions?
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Teaching staff
  • Lecturer:
    • Min-Yen Kan (“Min”)
    • kanmy@comp.nus.
      edu.sg
    • Office: S15 05-05
    • 6875-1885
    • Hours: 12 – 2 Thurs, or by appointment
    • Hobbies:
      rock climbing, ballroom dancing, and inline skating…
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Course web sites
  • http://www.comp.nus.edu.sg/~cs3243
    • Lecture, Tutorials, Notes, and Homework
    • Other supplementary content

  • http://ivle.nus.edu.sg/
    • Discussion forum
      • Any questions related to the course should be raised on this forum
      • Emails to me and Weihua considered public unless otherwise specified
    • Announcements
    • Homework submissions
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Objective
  • Understand the essential concepts of Artificial Intelligence.  These basic concepts include  search and knowledge representation, logic and game playing.
    • Students will also get a preview of at least one advanced area of AI in a self-selected, advanced lecture.


  • Who?
    • Undergraduates and beginning graduate students. Centered towards IS/CS or by permission.
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Readings
  • Required textbook:
    • Russell and Norvig (2003) Artificial Intelligence: A Modern Approach (2nd Edition ← Important!)


    • “Just terrific” – Prof. Brewka
    • “… a major step forward ... For the unified veiw of the field that this book introduces.  Even for the experts in the field, there are important insights in almost every chapter” – Prof. Dietterich
    • “Worth every penny!  Recent advances covered in the advanced chapter” – (me!)
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Discussion
  • Tutorial participation is very important. There are no “dumb” questions. You will only be penalized for not asking questions / not giving comments.


  • Possibilities:
  • Name tags
  • Cold calls
  • Small group discussion and presentation
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Assessment overview
  • Homework #1 (Individual) 20%
    • 17 Feb
  • Midterm 20%
    • 3 Mar
  • Homework #2 (Team) 20%
    • 7 Apr
  • Final Exam 40%
    • 26 Apr
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Freedom of information rule
  • Collaboration is acceptable and encouraged


  • To assure that all collaboration is on the level,
    you must always write the name(s) of your collaborators on your assignment.
  • You will be assessed for the parts for which you claim is your own contribution.
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Gilligan’s Island rule
  • You are free to meet with fellow students(s) and discuss assignments with them.


  • Writing on a board or shared piece of paper is acceptable during the meeting; however, you may not take any written (electronic or otherwise) record away from the meeting.


  • After the meeting, do something else for at least a half-hour (watch an episode of Gilligan's Island), before working on the assignment.


    • This will assure that you are able to reconstruct what you learned from the meeting, by yourself, using your own brain.