Transcript PowerPoint Presentation - Artificial Intelligence & Computers

Artificial Intelligence &
Computers
By: Colt Funderburg
Jessie Curtis
AI – myths, legends, stories
Created by:Wolfgang von Kempelen
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Fathers of AI
•
•
•
No universally accepted
definition of intelligence
Closest is the Turing Test
Alan Turing- Father of AI
#1
1950’s paper proposed
the test, must be able to
carry on a conversation
over teletype that is
indistinguishable from a
conversation with a
human
John McCarthy- Father
of AI #2
 Coined the term AI in
1956
History of AI
Reasoning behind AI- 17th Century
 Explored the possibility that all thought or
reason was systematic, such as algebra
 Thomas Hobbes, René Descartes and
Gottfried Leibniz

Feed Back

Principle of feedback theory
 A basic principle of cybernetics
 Thermostat
The Logic Theorist

1955
 Considered to be the first AI program
 Allen Newell and Herbert Simon
 Simon proposed as answer to mind/body
problem
Dartmouth Conference

1956
 Marvin Minsky, John McCarthy
 Claude Shannon, Nathan Rochester, Ray
Solomonoff, Oliver Selfridge, Trenchard
More, Arthur Samuel, Allen Newell and
Herbert Simon
Natural Language Processing
Task of AIJoseph Weizenbaum's ELIZA English speaking
attempt

Time flies like an arrow
 The
common simile: time moves quickly just like an
arrow does;
 measure the speed of flying insects like you would
measure that of an arrow (thus interpreted as an
imperative) - i.e. (You should) time flies as you
would (time) an arrow.;
 measure the speed of flying insects like an arrow
would - i.e. Time flies in the same way that an arrow
would (time them).;
Continued…
 measure
the speed of flying insects that are like
arrows - i.e. Time those flies that are like arrows;
 all of a type of flying insect, "time-flies,"
collectively enjoys a single arrow (compare Fruit
flies like a banana);
 each
of a type of flying insect, "time-flies,"
individually enjoys a different arrow (similar
comparison applies);
 A concrete object, for example the magazine,
Time, travels through the air in an arrow-like
manner.
AI in a Military Application
 AI
in Armaments
 AI’s involvement in training
Air Force’s Predator

The MQ-1 Predator is
a system, not just an
aircraft. A fully
operational system
consists of four aircraft
(with sensors), a
ground control station,
a Predator Primary
Satellite Link, and
approximately 55
personnel for deployed
24-hour operations (afmilitary.com)
AIM-120 AMRAAM

AIM-120 incorporates
active radar with an
inertial reference unit and
micro-computer system,
which makes the missile
less dependent upon the
fire-control system of the
aircraft. Once the missile
closes on a target, its
active radar guides it to
intercept. This enables
the pilot to aim and fire
several missiles
simultaneously at
multiple targets (afmilitary.com)
Military training
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The use of simulations
involving AI has
become a very useful
tool in the training of
military personal.
Computer games as well
as flight simulators are
being used to aid and
improve traditional
training methods.
Applications in the Present
 Automotives
Lexus

Finance
Using

LS 600h
neural netwoking
Security
“Smart
Borders”
Lexus LS 600h


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Uses many computer
controlled features
such as break assist
for collision avoidance
and hands free parking
system.
The car come with 3
cameras onboard. Two
forward looking
infrared cameras
detect objects in front
of the car while the
third is mounted on the
steering wheel to
monitor the driver’s
awareness.
Neural Networking

Artificial Neural
Networking (ANN)
analyses large
amounts of information
to find patterns with in
that information. This
application is used to
follow market trends
more accurately
enabling the investor
make better decisions
on what trends to
follow.
Smart Borders
Homeland security using “smart
borders” that implement technologies
like information sharing and
integration, collaboration and
communication, biometrics, and image
and speech recognition
(ai.arizona.edu).