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NFC-IEFR Faisalabad
Artificial intelligence
Lecture 1
⚫Introduction
⚫Conventional and AI Software
⚫AI application areas
⚫AI Future
T
oday’s Agenda
Artificial intelligence 2
Intelligence
⚫The ability to solve complex problem
⚫The ability to think, plan and schedule
⚫Memory and information manipulation
⚫Ability to tackle ambiguous and fuzzy problems
⚫The ability to learn and recognize
⚫The ability to understand and perceive.
Artificial intelligence 3
Artificial intelligence 4
What is AI?
• Views of AI fall into four categories
Human Rational
Thinking
Humanly
Thinking
Rationally
Acting
Humanly
Acting
Rationally
Thought Oriented
Action Oriented
Artificial intelligence
5
1. Acting Humanly:
⚫ “The study of how to make computers do
things at which moment the people are better"
⚫ In this case computer need to possess natural
language processing, knowledge
representation, automated reasoning,
machine learning, computer vision, robotics
⚫ Testing criteria is “Turing test”
Approaches of AI
Artificial intelligence
6
Systems that act like humans
⚫You enter a room which has a computer terminal. You
have a fixed period of time to type what you want into
the terminal, and study the replies. At the other end of
the line is either a human being or a computer
system.
⚫If it is a computer system, and at the end of the period
you cannot reliably determine whether it is a system
or a human, then the system is deemed to be
intelligent.
Artificial intelligence
7
⚫Every year Loebner prize is awarded to the program
which pass this test
The Interrogator Machine
Person
Artificial intelligence
8
2. Thinking Humanly:
⚫ The automation of activities that we associate with
human thinking, activities such as decision
making, problem solving, learning (Bellman)
⚫ How human think ?
⚫ Psychological experiments
⚫ Interdisciplinary field of cognitive science
(Science of mind and its processes)
Approaches of AI
Artificial intelligence
9
Systems that think like
humans
⚫ These cognitive tasks include:
⚫ Natural language processing
⚫ for communication with human
⚫ Knowledge representation
⚫ to store information effectively & efficiently
⚫ Automated reasoning
⚫ to retrieve & answer questions using the stored information
⚫Machine learning
⚫ to adapt to new circumstances
Artificial intelligence
10
3. Thinking rationally:
⚫ “the study of the computation that makes it
possible to perceive ,reason and act”
⚫ Aristotle was first to codify “right thinking”
syllogisms (logic)
⚫ Start of the field of Logic
Approaches of AI
Artificial intelligence
11
4. Acting Rationally: Agent based approach
⚫ “computational intelligence is the study of the
design of intelligent agents.”
⚫ Rational behavior: doing the right thing
⚫ The right thing: that which is expected to
maximize goal achievement, given the
available information
Approaches of AI
Artificial intelligence
12
Watson
⚫IBM’s Artificial
Intelligence computer
system
⚫Capable of answering
questions in natural
language
⚫Competed against
champions on Jeopardy
and won
Artificial intelligence
13
Watson
⚫ “The goal is to have computers start to interact in natural human terms
across a range of applications and processes, understanding the questions
that humans ask and providing answers that humans can understand and
justify” - IBM
Artificial intelligence
14
Watson
⚫Specifics
⚫16 Terabytes of RAM
⚫Can process 500 gigabytes (1 million books) per
second
⚫Content was stored in Watson’s RAM rather than
memory to be more easily accessed
⚫Cost about $3 Million
Artificial intelligence
15
Artificial Intelligence
⚫“The branch of computer science that is concerned
with the automation of intelligent behavior” (Luger and
Stubblefield, 1993)
⚫“The art of creating machines that perform functions
that require intelligence when performed by people”
(Kurzweil 1990)
⚫Artificial Intelligence is an effort to create systems that
can learn, think, perceive, analyze and act in the same
manner as real humans.
Artificial intelligence
16
⚫To what extend the computer should demonstrate the
simulation of human mind
⚫This raised the idea of strong AI and weak AI
Strong and Weak AI
Artificial intelligence
17
Artificial Intelligence
⚫Strong AI
⚫Strong AI means that machines act intelligently and they
have real conscious minds.
⚫Strong AI actually tries to recreate the functions of the inside of the brain
as opposed to simply emulating behavior.
⚫Strong AI states that a computer with the right program
can in fact be mental (like a human being)
Artificial intelligence
18
Eliza
Men are all alike
IN WHAT WAY
They’re always bugging us about something or other.
CAN YOU THINK OF A SPECIFIC EXAMPLE
Well, my boyfriend made me come here.
YOUR BOYFRIEND MADE YOU COME HERE
He says I am depressed much of the time.
I AM SORRY TO HEAR YOU ARE DEPRESSED
It’s true. I am unhappy.
DO YOU THINK COMING HERE WILL HELP YOU NOT TO BE UNHAPPY
I need some help, that much seems certain.
WHAT WOULD IT MEAN TO YOU IF YOU GOT SOME HELP
Perhaps I could learn to get along with my mother.
Artificial intelligence
19
⚫Weak artificial intelligence just aims to solve
problems, not necessarily to be mental or model
human behavior.
Weak AI
Artificial intelligence
20
Weak AI
⚫A lot of it was based on rules
⚫Rule-based expert systems:
⚫ If (Smoker) and (Age x > 60) then (Chance of Lung Cancer)
⚫Rule-based categorization
⚫ If news story mentions baseball or hockey or … at least three times, then it should be
categorized under Sports
Artificial intelligence
21
Difference B/w Strong & Weak AI
⚫Algorithm is stored in Strong AI to help them act in
different situations but in Weak AI all the actions are
entered by a human being.
⚫There are no proper examples for Strong AI since it is
still in the initial stage, but there are several examples
for Weak AI since it has been performed several times.
⚫In Strong AI the machine actually has a mind of its own
and can take decisions but in Weak AI, the machine can
just simulate the human behavior.
Artificial intelligence
22
⚫Solve a problem and also tell computer the procedure
(algorithm)
⚫In AI we tell the problem but not how to solve it
⚫In ordinary computer we give data and steps to solve
but in AI computer is given knowledge and inference
capability
Conventional vs. AI Systems
Artificial intelligence
23
Application Areas
Artificial intelligence
24
1. Game Playing:
⚫ IBM’s Deep Blue defeat the world champion
Garry Kasparov, score 3.5 to 2.5 in 1997
⚫ Kasparov said “I observed strange intelligence
on board”
Application Areas
Artificial intelligence
25
2. Autonomous Planning and Scheduling:
⚫ Hundred million miles from earth NASA remote
agent controls spacecraft
Application Areas
Artificial intelligence
26
3. Autonomous Control:
⚫ ALVINN Computer Vision was trained to steer car
⚫ It steer the car 2850 miles 98% on road
AI Applications
Artificial intelligence
27
AI Applications
⚫Medicine:
⚫Image guided
surgery
Artificial intelligence
28
AI Applications
⚫Transportation:
⚫Pedestrian
detection:
Artificial intelligence
29
Limitation of AI
High Costs
Computing Time
Adversarial Attacks
No Emotions

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AI Introduction.pptx

  • 2. ⚫Introduction ⚫Conventional and AI Software ⚫AI application areas ⚫AI Future T oday’s Agenda Artificial intelligence 2
  • 3. Intelligence ⚫The ability to solve complex problem ⚫The ability to think, plan and schedule ⚫Memory and information manipulation ⚫Ability to tackle ambiguous and fuzzy problems ⚫The ability to learn and recognize ⚫The ability to understand and perceive. Artificial intelligence 3
  • 4. Artificial intelligence 4 What is AI? • Views of AI fall into four categories Human Rational Thinking Humanly Thinking Rationally Acting Humanly Acting Rationally Thought Oriented Action Oriented
  • 5. Artificial intelligence 5 1. Acting Humanly: ⚫ “The study of how to make computers do things at which moment the people are better" ⚫ In this case computer need to possess natural language processing, knowledge representation, automated reasoning, machine learning, computer vision, robotics ⚫ Testing criteria is “Turing test” Approaches of AI
  • 6. Artificial intelligence 6 Systems that act like humans ⚫You enter a room which has a computer terminal. You have a fixed period of time to type what you want into the terminal, and study the replies. At the other end of the line is either a human being or a computer system. ⚫If it is a computer system, and at the end of the period you cannot reliably determine whether it is a system or a human, then the system is deemed to be intelligent.
  • 7. Artificial intelligence 7 ⚫Every year Loebner prize is awarded to the program which pass this test The Interrogator Machine Person
  • 8. Artificial intelligence 8 2. Thinking Humanly: ⚫ The automation of activities that we associate with human thinking, activities such as decision making, problem solving, learning (Bellman) ⚫ How human think ? ⚫ Psychological experiments ⚫ Interdisciplinary field of cognitive science (Science of mind and its processes) Approaches of AI
  • 9. Artificial intelligence 9 Systems that think like humans ⚫ These cognitive tasks include: ⚫ Natural language processing ⚫ for communication with human ⚫ Knowledge representation ⚫ to store information effectively & efficiently ⚫ Automated reasoning ⚫ to retrieve & answer questions using the stored information ⚫Machine learning ⚫ to adapt to new circumstances
  • 10. Artificial intelligence 10 3. Thinking rationally: ⚫ “the study of the computation that makes it possible to perceive ,reason and act” ⚫ Aristotle was first to codify “right thinking” syllogisms (logic) ⚫ Start of the field of Logic Approaches of AI
  • 11. Artificial intelligence 11 4. Acting Rationally: Agent based approach ⚫ “computational intelligence is the study of the design of intelligent agents.” ⚫ Rational behavior: doing the right thing ⚫ The right thing: that which is expected to maximize goal achievement, given the available information Approaches of AI
  • 12. Artificial intelligence 12 Watson ⚫IBM’s Artificial Intelligence computer system ⚫Capable of answering questions in natural language ⚫Competed against champions on Jeopardy and won
  • 13. Artificial intelligence 13 Watson ⚫ “The goal is to have computers start to interact in natural human terms across a range of applications and processes, understanding the questions that humans ask and providing answers that humans can understand and justify” - IBM
  • 14. Artificial intelligence 14 Watson ⚫Specifics ⚫16 Terabytes of RAM ⚫Can process 500 gigabytes (1 million books) per second ⚫Content was stored in Watson’s RAM rather than memory to be more easily accessed ⚫Cost about $3 Million
  • 15. Artificial intelligence 15 Artificial Intelligence ⚫“The branch of computer science that is concerned with the automation of intelligent behavior” (Luger and Stubblefield, 1993) ⚫“The art of creating machines that perform functions that require intelligence when performed by people” (Kurzweil 1990) ⚫Artificial Intelligence is an effort to create systems that can learn, think, perceive, analyze and act in the same manner as real humans.
  • 16. Artificial intelligence 16 ⚫To what extend the computer should demonstrate the simulation of human mind ⚫This raised the idea of strong AI and weak AI Strong and Weak AI
  • 17. Artificial intelligence 17 Artificial Intelligence ⚫Strong AI ⚫Strong AI means that machines act intelligently and they have real conscious minds. ⚫Strong AI actually tries to recreate the functions of the inside of the brain as opposed to simply emulating behavior. ⚫Strong AI states that a computer with the right program can in fact be mental (like a human being)
  • 18. Artificial intelligence 18 Eliza Men are all alike IN WHAT WAY They’re always bugging us about something or other. CAN YOU THINK OF A SPECIFIC EXAMPLE Well, my boyfriend made me come here. YOUR BOYFRIEND MADE YOU COME HERE He says I am depressed much of the time. I AM SORRY TO HEAR YOU ARE DEPRESSED It’s true. I am unhappy. DO YOU THINK COMING HERE WILL HELP YOU NOT TO BE UNHAPPY I need some help, that much seems certain. WHAT WOULD IT MEAN TO YOU IF YOU GOT SOME HELP Perhaps I could learn to get along with my mother.
  • 19. Artificial intelligence 19 ⚫Weak artificial intelligence just aims to solve problems, not necessarily to be mental or model human behavior. Weak AI
  • 20. Artificial intelligence 20 Weak AI ⚫A lot of it was based on rules ⚫Rule-based expert systems: ⚫ If (Smoker) and (Age x > 60) then (Chance of Lung Cancer) ⚫Rule-based categorization ⚫ If news story mentions baseball or hockey or … at least three times, then it should be categorized under Sports
  • 21. Artificial intelligence 21 Difference B/w Strong & Weak AI ⚫Algorithm is stored in Strong AI to help them act in different situations but in Weak AI all the actions are entered by a human being. ⚫There are no proper examples for Strong AI since it is still in the initial stage, but there are several examples for Weak AI since it has been performed several times. ⚫In Strong AI the machine actually has a mind of its own and can take decisions but in Weak AI, the machine can just simulate the human behavior.
  • 22. Artificial intelligence 22 ⚫Solve a problem and also tell computer the procedure (algorithm) ⚫In AI we tell the problem but not how to solve it ⚫In ordinary computer we give data and steps to solve but in AI computer is given knowledge and inference capability Conventional vs. AI Systems
  • 24. Artificial intelligence 24 1. Game Playing: ⚫ IBM’s Deep Blue defeat the world champion Garry Kasparov, score 3.5 to 2.5 in 1997 ⚫ Kasparov said “I observed strange intelligence on board” Application Areas
  • 25. Artificial intelligence 25 2. Autonomous Planning and Scheduling: ⚫ Hundred million miles from earth NASA remote agent controls spacecraft Application Areas
  • 26. Artificial intelligence 26 3. Autonomous Control: ⚫ ALVINN Computer Vision was trained to steer car ⚫ It steer the car 2850 miles 98% on road AI Applications
  • 29. Artificial intelligence 29 Limitation of AI High Costs Computing Time Adversarial Attacks No Emotions