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Artificial Intelligence

Pre
s
Ree ented b

y:ma
Tar
iq
What is Intelligence???
Intelligence is the ability to learn
about, to learn from, to understand
about, and interact with one’s
environment.

Intelligence is the faculty of
understanding

Intelligence is not to make no
mistakes but quickly to understand
how to make them good
(German Poet)
What Is Artificial Intelligence???
 Artificial Intelligence (AI) is
usually defined as the science
of making computers do
things that require
intelligence when done by
humans.
 A.I is the study of ideas that
enable computers to be
intelligent
How Does AI Works??
Artificial intelligence works
with the help of
•

Artificial Neurons
(Artificial Neural
Network)

And
•

Scientific theorems(IfThen Statements, Logics)
What is Neural Networking??

 Artificial neural networks are
composed of interconnecting
artificial neurons (programming
constructs that mimic the
properties of biological neurons).
Dendrites: Accepts Inputs
Soma: Processes the Inputs
Axon: Turns the processed inputs into
outputs
Synapses: The electrochemical contact
between neurons

Sec 2: ANN

6
An Artificial Neuron
Axons

Synapses Dendrites

X1

W

X2

2

Axon

1

X3

Body
(Soma)

W
W

f

∑

Output (y)

3

W0

Xn

Sec 2: ANN

Wn

Bias

7
Turing Test
Imitation Game Test!!!!
The Turing test is a test of a machine's
ability to demonstrate intelligence
Chinese Room Test
A Counter Argument to Turing Test
Intelligent agents
Percepts

?
Actions

Environment

Agent
Sensors

Actuators

12/26/13

10
Examples Of Artificial Intelligence

Expert Systems!!
An expert system is a computer program that is designed to
hold the accumulated knowledge of one or more domain
experts
It reasons with knowledge of some specialist subject with a
view to solving problems or giving advice
They are tested by being placed in the same real world
problem solving situation
Applications of Expert Systems
PUFF:
Medical system
for diagnosis of respiratory
conditions

PROSPECTOR:
Used by geologists to identify
sites for drilling or mining
Applications of Expert Systems
DENDRAL: Used to identify the
structure of chemical
compounds. First used in 1965

LITHIAN: Gives advice to
archaeologists examining stone
tools
Machine Learning!

Machine learning is a scientific discipline concerned with
the design and development of algorithms that allow
machines to mimic human intelligence.
There are Three ways that A.I learns
Failure Driven Learning
Learning by being Told
Learning by Exploration
Resemblance To Human Mind....
The special ability of artificial intelligence is to reach a
solution based on facts rather than on a preset series of steps
—is what most closely resembles the thinking function of
the human brain
Human Intelligence VS Artificial Intelligence
Human Intelligence VS Artificial Intelligence
Pros
Human Intelligence
• Intuition, Common sense,
Judgement, Creativity,
Beliefs etc
• The ability to demonstrate
their intelligence by
communicating effectively
• Plausible Reasoning and
Critical thinking

Artificial Intelligence
• Ability to simulate human
behavior and cognitive
processes
• Capture and preserve human
expertise
• Fast Response. The ability
to comprehend large
amounts of data quickly.
Human Intelligence VS Artificial Intelligence
Cons
Human Intelligence
• Humans are fallible
• They have limited
knowledge bases
• Information processing of
serial nature proceed very
slowly in the brain as
compared to computers
• Humans are unable to retain
large amounts of data in
memory.

Artificial Intelligence
• No “common sense”
• Cannot readily deal with
“mixed” knowledge
• May have high development
costs
• Raise legal and ethical
concerns
Human Intelligence VS Artificial Intelligence

We achieve more than we know. We know more than we understand.
We understand more than we can explain (Claude Bernard, 19th C
French scientific philosopher)
Artificial Intelligence VS Conventional Computing

Artificial Intelligence
• AI software uses the
techniques of search and
pattern matching
• Programmers design AI
software to give the
computer only the problem,
not the steps necessary to
solve it

Conventional Computing
• Conventional computer
software follow a logical
series of steps to reach a
conclusion
• Computer programmers
originally designed software
that accomplished tasks by
completing algorithms
Psychology And Artificial intelligence

The functionalist approach of AI views the mind as a representational
system and psychology as the study of the various computational
processes whereby mental representations are constructed, organized,
and interpreted.
(Margaret Boden's essays written between 1982 and 1988)
Artificial intelligence & Our society
Why we need AI??
To supplement natural intelligence for e.g we are building
intelligence in an object so that it can do what we want it to do, as for
example-- robots, thus reducing human labour and reducing human
mistakes
•My Perspective

For Humans Intelligence is no more than
TAKING a right decision at right time
And
For Machines Artificial Intelligence is no
more than CHOOSING a right decision at
right time

I think Artificial intelligence is the Second
intelligence ever to exist
Ahead on
Go
i
Quest
With

Be Not Afraid Of Falling Be Afraid Of Not Trying
Artificial Intelligence

Our Attempt To Build Models Of
Ourselves

Thank You

Elaine Rich

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Artificial intelligence

  • 2. What is Intelligence??? Intelligence is the ability to learn about, to learn from, to understand about, and interact with one’s environment. Intelligence is the faculty of understanding Intelligence is not to make no mistakes but quickly to understand how to make them good (German Poet)
  • 3. What Is Artificial Intelligence???  Artificial Intelligence (AI) is usually defined as the science of making computers do things that require intelligence when done by humans.  A.I is the study of ideas that enable computers to be intelligent
  • 4. How Does AI Works?? Artificial intelligence works with the help of • Artificial Neurons (Artificial Neural Network) And • Scientific theorems(IfThen Statements, Logics)
  • 5. What is Neural Networking??  Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons).
  • 6. Dendrites: Accepts Inputs Soma: Processes the Inputs Axon: Turns the processed inputs into outputs Synapses: The electrochemical contact between neurons Sec 2: ANN 6
  • 7. An Artificial Neuron Axons Synapses Dendrites X1 W X2 2 Axon 1 X3 Body (Soma) W W f ∑ Output (y) 3 W0 Xn Sec 2: ANN Wn Bias 7
  • 8. Turing Test Imitation Game Test!!!! The Turing test is a test of a machine's ability to demonstrate intelligence
  • 9. Chinese Room Test A Counter Argument to Turing Test
  • 11. Examples Of Artificial Intelligence Expert Systems!! An expert system is a computer program that is designed to hold the accumulated knowledge of one or more domain experts It reasons with knowledge of some specialist subject with a view to solving problems or giving advice They are tested by being placed in the same real world problem solving situation
  • 12. Applications of Expert Systems PUFF: Medical system for diagnosis of respiratory conditions PROSPECTOR: Used by geologists to identify sites for drilling or mining
  • 13. Applications of Expert Systems DENDRAL: Used to identify the structure of chemical compounds. First used in 1965 LITHIAN: Gives advice to archaeologists examining stone tools
  • 14. Machine Learning! Machine learning is a scientific discipline concerned with the design and development of algorithms that allow machines to mimic human intelligence.
  • 15. There are Three ways that A.I learns Failure Driven Learning Learning by being Told Learning by Exploration
  • 16. Resemblance To Human Mind.... The special ability of artificial intelligence is to reach a solution based on facts rather than on a preset series of steps —is what most closely resembles the thinking function of the human brain
  • 17. Human Intelligence VS Artificial Intelligence
  • 18. Human Intelligence VS Artificial Intelligence Pros Human Intelligence • Intuition, Common sense, Judgement, Creativity, Beliefs etc • The ability to demonstrate their intelligence by communicating effectively • Plausible Reasoning and Critical thinking Artificial Intelligence • Ability to simulate human behavior and cognitive processes • Capture and preserve human expertise • Fast Response. The ability to comprehend large amounts of data quickly.
  • 19. Human Intelligence VS Artificial Intelligence Cons Human Intelligence • Humans are fallible • They have limited knowledge bases • Information processing of serial nature proceed very slowly in the brain as compared to computers • Humans are unable to retain large amounts of data in memory. Artificial Intelligence • No “common sense” • Cannot readily deal with “mixed” knowledge • May have high development costs • Raise legal and ethical concerns
  • 20. Human Intelligence VS Artificial Intelligence We achieve more than we know. We know more than we understand. We understand more than we can explain (Claude Bernard, 19th C French scientific philosopher)
  • 21. Artificial Intelligence VS Conventional Computing Artificial Intelligence • AI software uses the techniques of search and pattern matching • Programmers design AI software to give the computer only the problem, not the steps necessary to solve it Conventional Computing • Conventional computer software follow a logical series of steps to reach a conclusion • Computer programmers originally designed software that accomplished tasks by completing algorithms
  • 22. Psychology And Artificial intelligence The functionalist approach of AI views the mind as a representational system and psychology as the study of the various computational processes whereby mental representations are constructed, organized, and interpreted. (Margaret Boden's essays written between 1982 and 1988)
  • 23. Artificial intelligence & Our society Why we need AI?? To supplement natural intelligence for e.g we are building intelligence in an object so that it can do what we want it to do, as for example-- robots, thus reducing human labour and reducing human mistakes
  • 24. •My Perspective For Humans Intelligence is no more than TAKING a right decision at right time And For Machines Artificial Intelligence is no more than CHOOSING a right decision at right time I think Artificial intelligence is the Second intelligence ever to exist
  • 25. Ahead on Go i Quest With Be Not Afraid Of Falling Be Afraid Of Not Trying
  • 26. Artificial Intelligence Our Attempt To Build Models Of Ourselves Thank You Elaine Rich

Editor's Notes

  1. In this test Searle says to imagine a Man no knowledge of chinese is trapped in a room. He is passed a paper with some chinese writing. He finds a large batch of “Chinese writing” plus “a second batch of Chinese script" and "a set of rules" in English "for correlating the second batch with the first batch. The man follows the instructions and produces a result in chiese language. He himself has no knowledge of the language but gets so good in following instructions that the person standing outside starts to believe that this man is fluent in chinese What Searle describes is a system that produces intelligent, meaningful output, in the absence of true understanding. If you accept this counter-example, then the Turing Test is doomed. The Chinese Room would pass the Turing test, even though it lacks understanding and intelligence.
  2. The important aspects of human intelligence seem to following the use of intuition, common sense, judgment, creativity, goal directedness, plausible reasoning, knowledge and beliefs. Meaning of intelligence is not human brain’s information processing ability but the ability of humans to demonstrate their intelligence by communicating effectively.