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Artificial Intelligence
(AI)
Hanif Ullah
Lecturer
hanifullah@live.com
what is AI and its
application?
DIGITAL TEACHER lT
What we study today?
 Introduction
 Marks distribution.
 What is AI?
 Application of AI.
2
DIGITAL TEACHER lT
Introduction
 Teacher : Hanif ullah
 Course title : AI
 Credit hrs: 3
3
DIGITAL TEACHER lT
Marks distribution
 Mid – 30 marks
 Sessional – 20 marks
 Assignments
 Quizzes
 Spot test
 Class participation
 Final – 20 marks
4
DIGITAL TEACHER lT
Class delivery method
 Self recorded video lecture will be available on
YouTube channel Digital Teacher IT You could
watch there or download from class WhatsApp
group.
 For Assignment and Quizzes do visit Google
class room frequently.
 For live streaming we will have an hour daily
session on Google meet or YouTube to answer
your queries.
5
DIGITAL TEACHER lT
What is artificial intelligence?
 Artificial intelligence (AI) refers to the simulation of
human intelligence in machines that are programmed
to think like humans and mimic their actions.
 learning
 problem-solving.
 Planning
 Reasoning
 The art of creating machines that perform functions
that require intelligence when performed by people''
(Kurzweil, 1990)
6
DIGITAL TEACHER lT
Applications of Artificial Intelligence
 AI is being tested and used in the healthcare
industry for dosing drugs and different
treatment in patients, and for surgical
procedures in the operating room.
 Machines with artificial intelligence include
computers that play chess and self-driving
cars.
 bank's fraud detection.
7
DIGITAL TEACHER lT
Applications of Artificial Intelligence
 Stock exchange
 Different recognition system.
 Recommendation system
 Etc.
8
DIGITAL TEACHER lT
What is AI?
Systems that think like humans Systems that think rationally
Systems that act like humans Systems that act rationally
9
DIGITAL TEACHER lT
Acting humanly: The Turing Test
approach
 The test proposed that the computer should be
interrogated by a human via a teletype, and passes the
test if the interrogator cannot tell if there is a computer or
a human at the other end.
 The computer would need to possess the following
capabilities:
 natural language processing to enable it to communicate
successfully in English (or some other human language);
 knowledge representation to store information provided
before or during the interrogation;
 automated reasoning to use the stored information to answer
questions and to draw new conclusions;
 machine learning to adapt to new circumstances and to detect
and extrapolate patterns.
10
DIGITAL TEACHER lT
Thinking humanly: The cognitive
modeling approach
 This requires "getting inside" of the human
mind to see how it works and then
comparing our computer programs to this.
 Another way to do this is to observe a human
problem solving and argue that one's
programs go about problem solving in a
similar way.
11
DIGITAL TEACHER lT
Thinking rationally
 the use of logic. Need to worry about
modeling uncertainty and dealing with
complexity
 Example: All computers use energy. Using
energy always generates heat. Therefore, all
computers generate heat..
12
DIGITAL TEACHER lT
Acting rationally
 Acting rationally means acting so as to achieve one's
goals, given one's beliefs.
 In the ``laws of thought'' approach to AI, the whole
emphasis was on correct inferences.
 Making correct inferences is sometimes part of being a
rational agent, because one way to act rationally is to
reason logically to the conclusion that a given action will
achieve one's goals, and then to act on that conclusion.
 On the other hand, correct inference is not all of
rationality, because there are often situations where
there is no provably correct thing to do, yet
something must still be done.
13
That is all

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What is artificial intelligence

  • 2. DIGITAL TEACHER lT What we study today?  Introduction  Marks distribution.  What is AI?  Application of AI. 2
  • 3. DIGITAL TEACHER lT Introduction  Teacher : Hanif ullah  Course title : AI  Credit hrs: 3 3
  • 4. DIGITAL TEACHER lT Marks distribution  Mid – 30 marks  Sessional – 20 marks  Assignments  Quizzes  Spot test  Class participation  Final – 20 marks 4
  • 5. DIGITAL TEACHER lT Class delivery method  Self recorded video lecture will be available on YouTube channel Digital Teacher IT You could watch there or download from class WhatsApp group.  For Assignment and Quizzes do visit Google class room frequently.  For live streaming we will have an hour daily session on Google meet or YouTube to answer your queries. 5
  • 6. DIGITAL TEACHER lT What is artificial intelligence?  Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.  learning  problem-solving.  Planning  Reasoning  The art of creating machines that perform functions that require intelligence when performed by people'' (Kurzweil, 1990) 6
  • 7. DIGITAL TEACHER lT Applications of Artificial Intelligence  AI is being tested and used in the healthcare industry for dosing drugs and different treatment in patients, and for surgical procedures in the operating room.  Machines with artificial intelligence include computers that play chess and self-driving cars.  bank's fraud detection. 7
  • 8. DIGITAL TEACHER lT Applications of Artificial Intelligence  Stock exchange  Different recognition system.  Recommendation system  Etc. 8
  • 9. DIGITAL TEACHER lT What is AI? Systems that think like humans Systems that think rationally Systems that act like humans Systems that act rationally 9
  • 10. DIGITAL TEACHER lT Acting humanly: The Turing Test approach  The test proposed that the computer should be interrogated by a human via a teletype, and passes the test if the interrogator cannot tell if there is a computer or a human at the other end.  The computer would need to possess the following capabilities:  natural language processing to enable it to communicate successfully in English (or some other human language);  knowledge representation to store information provided before or during the interrogation;  automated reasoning to use the stored information to answer questions and to draw new conclusions;  machine learning to adapt to new circumstances and to detect and extrapolate patterns. 10
  • 11. DIGITAL TEACHER lT Thinking humanly: The cognitive modeling approach  This requires "getting inside" of the human mind to see how it works and then comparing our computer programs to this.  Another way to do this is to observe a human problem solving and argue that one's programs go about problem solving in a similar way. 11
  • 12. DIGITAL TEACHER lT Thinking rationally  the use of logic. Need to worry about modeling uncertainty and dealing with complexity  Example: All computers use energy. Using energy always generates heat. Therefore, all computers generate heat.. 12
  • 13. DIGITAL TEACHER lT Acting rationally  Acting rationally means acting so as to achieve one's goals, given one's beliefs.  In the ``laws of thought'' approach to AI, the whole emphasis was on correct inferences.  Making correct inferences is sometimes part of being a rational agent, because one way to act rationally is to reason logically to the conclusion that a given action will achieve one's goals, and then to act on that conclusion.  On the other hand, correct inference is not all of rationality, because there are often situations where there is no provably correct thing to do, yet something must still be done. 13

Notas do Editor

  1. PS (General Problem Solver) was an early computer program that attempted to model human thinking. The developers were not so much interested in whether or not GPS solved problems correctly. They were more interested in showing that it solved problems like people, going through the same steps and taking around the same amount of time to perform those steps
  2. An agent is just something that perceives and acts. (This may be an unusual use of the word, but you will get used to it.)