Conclusion

• Take Home Points
  1. The five learning outcomes including knowledge representation, machine learning and search spaces.
  2. The Evaluation is CW1 25%, CW2 35%, and CW3 40%.
  3. AI is a big field and there are jobs if you understand it.
  4. In this class, you need to program in Java.
  5. You should already know all of the Java stuff I showed (except maybe arrays) and some of the other Java stuff.
• Reading: For this lecture you can look at Russel and Norvig's introductory chapter. Other people think about AI differently than I do, and they have a valid stance. This won't really be on the exam.
• Reading: For the next Russell and Norvig Chapter 1 Solving Problems by Searching (pp 66-111)