Introduction to artificial intelligence

1. Artificial Intelligence
Lecture No. 1

2. How can we define Intelligence?
• ability of problem solving
• the ability to think, plan and schedule
• memory and correct and efficient memory and
information manipulation
• ability to tackle ambiguous and fuzzy problems
• ability to learn and recognize
• ability to understand and perceive

3.  A machine searches through a mesh and finds a
path?
 A machine solves problems like the next number in
the sequence?
 A machine develops plans?
 A machine diagnoses and prescribes?
 A machine answers ambiguous questions?
 A machine recognizes fingerprints?
 A machine understands?
 A machine perceives?
 A machine does MANY MORE SUCH THINGS!
 A machine behaves as HUMANS do?
HUMANOID!!!

6. Artificial Intelligence is an effort to create
systems that can learn, think, perceive,
analyze and act in the same manner as
real humans.

7. Strong AI means that machines act
intelligently and they have real conscious
minds.
Weak AI says that machines can be made
to act as if they are intelligent.

8. First recognized work on AI
First program that though humanly
Development of Lisp
Microworlds
Researchers started to realize problems
AI becomes part of Commercial Market
Neural networks reinvented

9. The first work that is now generally
recognized as AI was done by Warren
McCulloch and Walter Pitts (1943). Their
work based on three sources:
• The basic physiology and function of neurons in
the human brain
• The prepositional logic
• The Turing’s theory of computation

10. Newell and Simon’s early success was
followed up with the General Problem
Solver.
Unlike Logic Theorist, this program was
developed in the manner that it attacked a
problem imitating the steps that human
take when solving a problem.

12. Artificially Intelligent crawlers and content
based searching techniques
computer based games like chess
Computer Vision
Natural language processing
Expert systems
Robotics “Humanoid”