G 5 AIAI Introduction to Artificial Intelligence Graham

G 5 AIAI Introduction to Artificial Intelligence Graham Kendall Course Introduction

G 5 AIAI Course Introduction • You are a caveman (or woman) • I travel back in time and bring you a Pentium IV 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?

G 5 AIAI 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?

G 5 AIAI 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?

G 5 AIAI Course Introduction • Course – Introduction to Artificial Intelligence • Lecturer – Graham Kendall – GXK@CS. NOTT. AC. UK

G 5 AIAI Course Introduction • Web Page – http: //www. cs. nott. ac. uk/~gxk/courses/g 5 aiai/ • EMAIL • Second / Third Year Projects

G 5 AIAI Course Introduction Course Context G 5 AIAI Introduction to AI G 5 BAIM Artificial Intelligence Methods G 5 BAIP Artificial Intelligence Programming D 53 DIA Designing Intelligent Agents

G 5 AIAI Course Introduction Who Can Attend? (This year) • Introduction to AI – First/Second Year Option • Artificial Intelligence Methods – Second/Third Year Option

G 5 AIAI 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 • Feedback on Coursework Needed • Course content was too much / too little

G 5 AIAI Course Introduction • Lectures – 15 (ish) • Lecture Times and Locations – Monday 13: 00 (CTF-LT 2) – Friday 11: 00 (CTF-LT 3) • Assessment – 25% Coursework – 75% examination (2 hours)

G 5 AIAI 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 and heuristic search techniques – Implement Neural Networks (perceptron)

G 5 AIAI 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.

G 5 AIAI 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)

G 5 AIAI 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

G 5 AIAI Course Introduction Textbooks • Artificial Intelligence (Winston) – As for Rich/Knight

G 5 AIAI Course Introduction Textbooks • Artificial intelligence : Structure and Strategies for Complex Problem Solving (Luger/Stubblefield)

G 5 AIAI Course Introduction Textbooks • Computational Intelligence (Poole/Mackworth/Goebel) – As good as AIMA but came out later

G 5 AIAI Course Introduction Useful Reading • The Essence of Artificial Intelligence (Cawsey)

G 5 AIAI Course Introduction Useful Reading • Seven Methods for Transforming Corporate Data into Business Intelligence (Dahr/Stein)

G 5 AIAI Course Introduction Useful Reading • Artificial Intelligence and Computer Games (Richard Bartle)

G 5 AIAI Course Introduction Useful Reading • Computer Gamesmanship (David Levy)

G 5 AIAI Course Introduction Neural Networks • The Essence of Neural Networks (Callan)

G 5 AIAI Course Introduction Neural Networks • Neural Network (Davalo)

G 5 AIAI Course Introduction Neural Networks • Fundamentals of Neural networks (Fausett)

G 5 AIAI Course Introduction Proposed Lecture Schedule • See Web Site

G 5 AIAI Course Introduction Coursework Schedule • Coursework – Is already available – It does involve programming – Closing date is 4 th December, but with an automatic weeks extension! – No further extensions

G 5 AIAI Course Introduction Examinations • Examination Rubric – You are expected to answer one of the two questions from section A and three of the five questions from section B.

G 5 AIAI Course Introduction Are these AI? ? Boids

G 5 AIAI Course Introduction Finished Now the hard work starts