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Artificial Intelligence

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What are the main obstacles that need to be overcome? Where can you learn ... Abstractions ... Abstraction. Abstraction, and the funneling of abstraction into a ... – PowerPoint PPT presentation

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Title: Artificial Intelligence


1
Artificial Intelligence
2
Table-O-Contents
  • AI What are you?
  • What can AI do right now?
  • Where is its future heading?
  • What are the main obstacles that need to be
    overcome?
  • Where can you learn more?

3
All That HYPE
  • The Terminator
  • A.I.
  • 2001 A Space Odyssey
  • I, Robot
  • The Matrix

4
What is Intelligence?
  • The capacity to acquire and apply knowledge,
    especially toward a purposeful goal
  • The faculty of thought and reason
  • We should take care not to make the intellect our
    god it has, of course, powerful muscles, but no
    personality. Albert Einstein

5
What is AI?
  • The ability of a computer or other machine to
    perform those activities that are normally
    thought to require intelligence.
  • Artificial Intelligence was coined by a Stanford
    Professor named John McCarthy

6
John McCarthy
  • The Father of AI
  • Professor _at_ both Dartmouth and Stanford
  • Creator of SAIL Stanford Artificial Intelligence
    Lab
  • Co-wrote the first approved proposal for a funded
    study on AI
  • Dartmouth Proposal

7
7 Areas of AI
  • Automatic Computing
  • How to get computers to use human language
  • Neuron Nets
  • Creativity Randomness
  • Size of Calculations
  • Self-Improvement
  • Abstractions

8
Self-Improvement
  • A computer can not, currently, make decisions to
    self-modify or self-improve
  • Boolean logic (True/False Logic) has no area for
    the partial truth that makes up most human
    decision
  • Fuzzy logic introduces a dual variable system
    that allows for partial truths between two sides
    like shades of grey

9
Creativity and Randomness
  • Features that we have always defined as
    distinctly human
  • Different ways of achieving the same out come
  • Exhausting every possible scenario vs. seeing a
    solution via instinct
  • A computer can beat a human in chess, and did so,
    for the first time in 1997.
  • Poker, however, could never be mastered by a
    computer that only looks at odds possible
    outcomes.

10
Creativity
11
Abstraction
  • Abstraction, and the funneling of abstraction
    into a computer is basically giving the computer
    common sense through complex algorithms
  • The ability to do basic things with out though
  • i.e. Im Cold, Ill put on my jacket

12
Expert Systems
  • Expert Systems are the closest thing we have to
    AI right now
  • The first system was called MYCIN, designed in
    1974
  • They are primarily based in the medical field
  • Still hugely flawed by simple lack of basic human
    understanding

13
So intrigued you want to know more?
  • www.formal.stanford.edu/jmc/whatisai/whatisai.html
  • This site provided information about John
    McCarthy and Artificial Intelligence
    applications. In addition, it cleared up my
    questions about the topic and provided links to
    more detailed information.
  • www.aaai.org/
  • The American Association for Artificial
    Intelligence containes a understandable overview
    of A.I. It also gives information on specific
    applications and new ideas for A.I. research.
  • http//www.cs.washington.edu/homes/lazowska/cra/ai
    .html
  • This site provided more information on
    applications and also described case studies for
    the application of Expert systems. These
    specific case studies included Diagnosing and
    treating Problems i.e. illness or
    Hardware/software problems and others. The
    future of A.I. was also forecasted.

14
Want to know what the Internet Geeks think?
  • The General USENET consensus?
  • ROBOTS ARE GOING TO TAKE OVER THE WORLD
  • We are going to be turned into batteries
  • The minority opinion seems to be that computer
    scientists are not moving fast enough in a field
    where much research could be done.
  • Basically they wined that they couldnt talked to
    their computers for company yet
  • The last bunch of people were the MIT AI Lab and
    SAIL students and professors talking
    intelligently about what different algorithms
    could be used to help computers interact better
    with, and seem more like humans

15
The Great War
  • Computer power Vs. the power of the human brain
  • It is predicted that by 2025 computer connection
    capacity will roar past human potential
  • Measure is in connection x connectors
  • Information taken from Age of Spiritual Machines
    by

16
Thats All Folks
  • For more information please visit our website _at_
    http//csc101.cs.uri.edu/files/storage/AMAI2964/We
    bpagepics/Artificial20Intelligence.htm3

17
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