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G51IAI Introduction to Artificial Intelligence Andrew Parkes Course Introduction.

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Presentation on theme: "G51IAI Introduction to Artificial Intelligence Andrew Parkes Course Introduction."— Presentation transcript:

1 G51IAI Introduction to Artificial Intelligence Andrew Parkes http://www.cs.nott.ac.uk/~ajp/ Course Introduction

2 G51IAI Course Introduction Joke –Q. What do you give a hurt lemon? –A. Lemon aid Hands up if you think the joke writer –has some sense of humour? –has a good sense of humour? –is intelligent? –has a mental age of 5?, 10?, 15? –has probably been to too many lectures? Joke writer is a computer program: JAPE

3 G51IAI Course Introduction Joke Analysis and Production Engine (JAPE) Author of JAPE: Kim Binsted Ph.D. work in AI at Edinburgh (1996) an effort to combine her academic interest in artificial intelligence (AI) with her personal interest in improvisational comedy. Daily Telegraph 1996 More recently: STANDUP System to Augment Non-speakers' Dialogue Using Puns A computer system that generates simple word-play jokes could help disabled children develop better language skills, say UK researchers. New Scientist 2006 Developed by Annalu Waller at Dundee University, UK, who has arranged for eight children with cerebral palsy to test the system.

4 G51IAI 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?

5 G51IAI 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?

6 G51IAI Course Introduction Course Introduction Course –Introduction to Artificial Intelligence Lecturer –Andrew Parkes http://www.cs.nott.ac.uk/~ajp/ ajp at cs.nott.ac.uk

7 G51IAI Course Introduction Course Introduction Web Page –http://www.cs.nott.ac.uk/~ajp/courses/g51iai/http://www.cs.nott.ac.uk/~ajp/courses/g51iai/ –contains the self-study materials for this course EMAIL –ajp at cs.nott.ac.uk Office Hours –Thurs 2-3 –or by appointment (email me) Second / Third Year Projects –??

8 G51IAI Course Introduction Course Context G51IAI Introduction to AI G5BAIM Artificial Intelligence Methods G5BAIP Artificial Intelligence Programming D53DIA Designing Intelligent Agents, G53ASD Automated Scheduling, … Projects

9 G51IAI Course Introduction Who Can Attend? (This year) Introduction to AI –First/Second Year Option Artificial Intelligence Methods –Second/Third Year Option

10 G51IAI Course Introduction Course Introduction Lectures –15 (ish) Lecture Times and Locations –Monday 14:00 (CTF-C33) –Wednesday 10:00 (New Business School. A25) Assessment –25% Coursework (CW1 5%, CW2 20%) –75% examination (2 hours)

11 G51IAI Course Introduction Aims of the Course Define what we mean by AI (or at least give us a working definition for this course) Know how to write AI programs that –Explore search spaces using both blind and heuristic search techniques –Implement Neural Networks (perceptron)

12 G51IAI 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.

13 G51IAI Course Introduction Textbooks Artificial Intelligence – A Modern Approach (AIMA) (Russell/Norvig)

14 G51IAI Course Introduction Textbooks Artificial Intelligence – A Modern Approach (AIMA) (Russell/Norvig) Artificial Intelligence (AI) is a big field and this is a big book (Preface to AIMA) 2 nd Edition (2003) has 1081 pages You dont need to learn them all You dont even need to read them all

15 G51IAI 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. 2nd edition 2003 is the one I use – though earlier editions are probably fine for the material in this course. BUT It can be quite an advanced book - sometimes more like a reference book than a textbook – so you might want to first consider easier books such as Cawsey

16 G51IAI Course Introduction Textbooks Artificial Intelligence – A Modern Approach (AIMA) (Russell/Norvig) Relevant Chapters Chap 1 : Introduction Chap 3 : Solving Problems by Search Chap 4.1 : Informed (Heuristic) Search Strategies Sections 5.1 & 5.2 : Backtracking Search for CSPs Chap 6 : Adversarial Search Sections 11.1 & 11.2 : Planning Section 20.5 : Neural Networks Chap 26 : Philosophical Foundation (You do NOT need everything from each of these chapters!!)

17 G51IAI Course Introduction Useful Reading The Essence of Artificial Intelligence (Cawsey) –Good lightweight introductory book –A good starting point for the course would be to read Chapter 4 on search –This book is at about the level of the course (in contrast, AIMA is generally more advanced than this course)

18 G51IAI 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

19 G51IAI Course Introduction Textbooks Artificial Intelligence (Winston) –As for Rich/Knight

20 G51IAI Course Introduction Textbooks Artificial intelligence : Structure and Strategies for Complex Problem Solving (Luger/Stubblefield)

21 G51IAI Course Introduction Textbooks Computational Intelligence (Poole/Mackworth/Goebel) –As good as AIMA but came out later

22 G51IAI Course Introduction Useful Reading Seven Methods for Transforming Corporate Data into Business Intelligence (Dahr/Stein)

23 G51IAI Course Introduction Useful Reading Artificial Intelligence and Computer Games (Richard Bartle)

24 G51IAI Course Introduction Useful Reading Computer Gamesmanship (David Levy)

25 G51IAI Course Introduction Neural Networks The Essence of Neural Networks (Callan)

26 G51IAI Course Introduction Neural Networks Neural Network (Davalo)

27 G51IAI Course Introduction Neural Networks Fundamentals of Neural networks (Fausett)

28 G51IAI Course Introduction Course Structure Three distinct themes with crucial topics Search –Tree Search : Breadth- and Depth-First Search –Graph Search Uninformed : Uniform Cost Search Informed Search : A* Search –State Space Search –Game Tree Search : minimax and alpha-beta History & Philosophy –Turing Test & Chinese Room Neural Nets: –Perceptrons & their limitations

29 G51IAI Course Introduction Approximate Time Line History & Philosophy of AI Neural Nets CW 1 (5%) CW 2 (20%) Exam (75%) Oct Nov Dec Tree Search Graph Search State Space Search Game Tree Search Part. Assign. Search

30 G51IAI Course Introduction Proposed Lecture Schedule See Web Site

31 G51IAI Course Introduction Coursework Schedule Coursework ONE (5%) –Is available now –It does not involve programming –Closing date is 1st November, But with an automatic weeks extension! No further extensions Coursework TWO (20%) –Will be available before end of October –It does involve programming –Closing date is 30 th November, But with an automatic weeks extension! No further extensions

32 G51IAI Course Introduction Examinations Examination Rubric –Is likely to be something such as You are expected to answer one of the two questions from section A and three of the five questions from section B. –but not yet finalised.

33 G51IAI Course Introduction Intro to AI: Quick Start to your Self Study 1.Have a look at the web materials –to make sure you can find and access them! –get an overview of the course –please report any problems 2.Find the textbooks in the library 3.Start (just start!) to read the search chapter of one of textbooks e.g. –Cawser : Chap 4 –Winston : Chap 4

34 G51IAI Course Introduction Are these AI?? Boids

35 G51IAI Course Introduction Course Introduction Finished Now the hard work starts


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