Transcript Course Introduction

G5AIAI
Introduction to Artificial Intelligence
Graham Kendall
Course Introduction
G5AIAI 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?
G5AIAI 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?
G5AIAI 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?
G5AIAI Course Introduction
Course Introduction
• Course
– Introduction to Artificial Intelligence
• Lecturer
– Graham Kendall
– [email protected]
G5AIAI Course Introduction
Course Introduction
• Web Page
– http://www.cs.nott.ac.uk/~gxk/courses/g5aiai/
• EMAIL
• Second / Third Year Projects
G5AIAI Course Introduction
Course Context
G5AIAI
Introduction to AI
G5BAIM
Artificial
Intelligence
Methods
G5BAIP Artificial
Intelligence
Programming
D53DIA Designing Intelligent
Agents
G5AIAI Course Introduction
Who Can Attend? (This year)
• Introduction to AI
– First/Second Year Option
• Artificial Intelligence Methods
– Second/Third Year Option
G5AIAI 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
• Feedback on Coursework Needed
• Course content was too much / too little
G5AIAI Course Introduction
Course Introduction
• Lectures
– 15 (ish)
• Lecture Times and Locations
– Monday 13:00 (CTF-LT2)
– Friday 11:00 (CTF-LT3)
• Assessment
– 25% Coursework
– 75% examination (2 hours)
G5AIAI 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)
G5AIAI 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.
G5AIAI 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)
G5AIAI 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
G5AIAI Course Introduction
Textbooks
• Artificial Intelligence (Winston)
– As for Rich/Knight
G5AIAI Course Introduction
Textbooks
• Artificial intelligence : Structure and
Strategies for Complex Problem Solving
(Luger/Stubblefield)
G5AIAI Course Introduction
Textbooks
• Computational Intelligence
(Poole/Mackworth/Goebel)
– As good as AIMA but came out later
G5AIAI Course Introduction
Useful Reading
• The Essence of Artificial Intelligence
(Cawsey)
G5AIAI Course Introduction
Useful Reading
• Seven Methods for Transforming
Corporate Data into Business Intelligence
(Dahr/Stein)
G5AIAI Course Introduction
Useful Reading
• Artificial Intelligence and Computer
Games (Richard Bartle)
G5AIAI Course Introduction
Useful Reading
• Computer Gamesmanship (David Levy)
G5AIAI Course Introduction
Neural Networks
• The Essence of Neural Networks (Callan)
G5AIAI Course Introduction
Neural Networks
• Neural Network (Davalo)
G5AIAI Course Introduction
Neural Networks
• Fundamentals of Neural networks
(Fausett)
G5AIAI Course Introduction
Proposed Lecture Schedule
• See Web Site
G5AIAI Course Introduction
Coursework Schedule
• Coursework
– Is already available
– It does involve programming
– Closing date is 4th December, but with an
automatic weeks extension!
– No further extensions
G5AIAI 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.
G5AIAI Course Introduction
Are these AI??
Boids
G5AIAI Course Introduction
Course Introduction Finished
Now the hard work starts