1. G5BAIM Artificial Intelligence Methods Dr. Graham Kendall Course Introduction

2. G5BAIM Course Introduction You are a caveman (or woman) I travel back in time and bring you a Pentium III PC and show you some of the things it is capable of doing. Question : Would you, as a caveman, consider the computer to be intelligent? Hands up if you think the computer is intelligent?

3. G5BAIM Course Introduction Now we are in the present day I show you the same Pentium III PC and show you some of the things it is capable of doing. Question : Would you, as a computer science student, consider the computer to be intelligent? Hands up if you now think the computer is intelligent?

4. G5BAIM Course Introduction We are still in the present day, but we are at the end of this lecture course. Just before I leave the final lecture, I peel away my face and reveal I am an android. As an android I have just delivered a 24 hour lecture course and answered all your questions. Question : Would you, as a computer science student, consider me to be intelligent? Hands up if you think I am intelligent?

5. G5BAIM Course Introduction Course Introduction Course –Artificial Intelligence Methods Lecturer –Graham Kendall –GXK@CS.NOTT.AC.UK –Room C80 (by appointment) Web Page –http://www.cs.nott.ac.uk/~gxk Second / Third Year Projects

6. G5BAIM Course Introduction Course Introduction Last Years Course –Good Points Handouts/Notes Summary of Each Lecture Willingness to Answer Questions –Bad Points Speak Properly (Louder, Clearer, Faster, Slower) Did Not Summarise Lectures More Coursework Needed Course content was too much / too little

7. G5BAIM Course Introduction Course Introduction Lectures –20 (ish) Lecture Times and Locations –Monday 09:00 (LT2) –Thursday 15:00 (LT2) Assessment –25% Coursework –75% examination (2 hours) - 4 Questions from 6

8. G5BAIM Course Introduction Aims of the Course Define what we mean by AI (or at least give us a working definition for this course) Write “AI” programs that –Explore search spaces using both blind, heuristic, meta- heuristic and evolutionary search techniques –Implement Neural Networks Consider what is meant by artificial life and write programs that can learn Consider ways of representing and using knowledge

9. G5BAIM Course Introduction Aims of the Course This is very much a practical course. Although we will touch upon the philosophical issues we will not dwell on this area of AI. This course is more concerned with writing useful AI programs than discussing if a computer is intelligent or not.

10. G5BAIM Course Introduction Textbooks Artificial Intelligence – A Modern Approach (AIMA) (Russell/Norvig) Much of the material for this course is from this book. If you are going to buy a book, then get this one. (Web site has an amazon link)

11. G5BAIM Course Introduction Textbooks Artificial Intelligence (Rich/Knight) –This used to be the “standard” AI text book but AIMA is now taking its place – in my view

12. G5BAIM Course Introduction Textbooks Artificial Intelligence (Winston) –As for Rich/Knight

13. G5BAIM Course Introduction Textbooks Artificial intelligence : Structure and Strategies for Complex Problem Solving (Luger/Stubblefield)

14. G5BAIM Course Introduction Textbooks Computational Intelligence (Poole/Mackworth/Goebel) –As good as AIMA but came out later

15. G5BAIM Course Introduction Useful Reading The Essence of Artificial Intelligence (Cawsey)

16. G5BAIM Course Introduction Useful Reading Seven Methods for Transforming Corporate Data into Business Intelligence (Dahr/Stein)

17. G5BAIM Course Introduction Useful Reading Artificial Intelligence and Computer Games (Richard Bartle)

18. G5BAIM Course Introduction Useful Reading Computer Gamesmanship (David Levy)

19. G5BAIM Course Introduction Neural Networks The Essence of Neural Networks (Callan)

20. G5BAIM Course Introduction Neural Networks Neural Network (Davalo)

21. G5BAIM Course Introduction Neural Networks Fundamentals of Neural networks (Fausett)

22. G5BAIM Course Introduction Proposed Lecture and Coursework Schedule Introduction –Lectures 1, 2 & 3 Course Introduction and Brief History of AI Searching –Lectures 4 & 5 Search problems, their implementation and how to evaluate –Lectures 6 & 7 Blind Searches

23. G5BAIM Course Introduction Proposed Lecture and Coursework Schedule Heuristic Searches –Lectures 8, 9 & 10

24. G5BAIM Course Introduction Proposed Lecture and Coursework Schedule Revision –Lecture 11 Modern Heuristic Search Methods –Lectures 12, 13, 14, 15, 16 & 17 E.g. Genetic Algorithms, Ant Algorithms, Simulated Annealing, Tabu Search, Constraint Satisfaction Neural Networks –Lectures 18 & 19 Neural Networks

25. G5BAIM Course Introduction Proposed Lecture and Coursework Schedule Revision –Lecture 20 Maybe something on Artificial Life

26. G5BAIM Course Introduction Proposed Lecture and Coursework Schedule Coursework –Handed out in the next week –Definitely a programming assignment –You will need to write a report (max five pages) - 16% –You will need to test your program against three others chosen randomly from the group - 9% –Coursework will be administered by a Teaching Assistant –Closing date yet to be decided

27. G5BAIM Course Introduction Proposed Lecture and Coursework Schedule Guest Lecture –Possibly a guest lecturer giving six lectures –Possibly on Genetic Algorithms –May need to take the Operating System lecture slots –May need to add a couple of extra lectures

28. G5BAIM Course Introduction Are these AI?? Boids

29. G5BAIM Course Introduction Course Introduction Finished Now the hard work starts