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Artificial Intelligence
Lecture No. 1
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
 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!!!
Introduction to artificial intelligence lecture 1
Introduction to artificial intelligence lecture 1
Artificial Intelligence is an effort to create
systems that can learn, think, perceive,
analyze and act in the same manner as
real humans.
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.
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
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
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.
Introduction to artificial intelligence lecture 1
Artificially Intelligent crawlers and content
based searching techniques
computer based games like chess
Computer Vision
Natural language processing
Expert systems
Robotics “Humanoid”

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Introduction to artificial intelligence lecture 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”