1. Submitted by:
Arjit Kumar
Branch: EN
Batch: 3rd year
Univ. Roll no:1002921020
2. Main Topics Can AI have sense of
Introduction humour?
History Why human brain isn’t
Types model for AI?
Examples
Laws of robotics
Test of AI
Intelligenge Today
Characteristrics
The Human Mind
3. • Acc. To John McCarthy “the science
and engineering of making
intelligent machines.”
• AI is the intelligence of machines &
the branch of computer science
that aims to create it.
• “The ability of any system to mimic
the human brain in some way.”
4. • To start talking about AI in the modern sense, one has
to start with Allen Turing. He carrys the distinction of
being known as the father of computer science and AI.
• It was Turing who first posted the question “Can
machine think??” in 1950.
• Artificial Intelligence was the word introduced by
McCarthy .
• Computer time sharing technologies and even specific
applications would one day be sold as a utility
------- McCarthy.
5. 2 types:
• Strong AI:- It is machine with the full range of human
intelligence.It requires the intelligent agent to be able
to think freely , or rather,outside the programming
guidelines given to it.
• Weak AI:- It is a system that uses a set of pre-
programmed to apply them to any task,to reach a
successful fulfillment. (i.e.if this ,then that rules of
rationality.) It is more actively in use today.
6. • Weak AI:
Line follower robot, wall follower
robot , any system programmed
with nested if-else condition
etc.
• Strong AI:
Chatter boards,puzzle solver
robot,natural language
communicator,deep blue,etc.
7. • In this Turing test, interrogator has
to determine that which one is
human by asking series of
question.
• In this test , if interrogator fails to
determine b/w the machine and
human, it means the machine A
has got AI over B .
8. • NATURAL LANGUAGE PROCESSING:
The most essential part of any AI system
would have to be its ability to converse
with humans in a way that does not make
it obvious that the other party is machine.
• Afterall, what use would it be to have a
robot who does not understand of the
things you are saying? So natural language
processing is perhaps the most difficult
part of building an AI agent.
9. • KNOWLEDGE
REPRESENTATION:
During a conversation there is often
a give-and-take of new
information among humans. A
successful AI has to have ability to
store and retrieve data it has just
received from a new
source,because that is the carry-
ing on a conversation.
10. • AUTOMATED REASONING :
Reasoning or the ability to draw the rational
conclusion from different data is one of
those problems that seems simple on the
surface but is extremely complex the more
you get into it.
• To store a data into a system is not a
problem at all. But to give the system the
ability to figure out which data correlates
with which other data? That’s where things
starts becoming complicated.
11. • MACHINE LEARNING:
As humans ,we have an innate ability to
look at new things and make them fit
into our understanding of the
world,based on the pattern of the
information we have experienced in
our life.
It is some thing we do without even
thinking about it but ,for a machine
,there is not an intuitive ability to apply
patterns and detect new environment .
12. Why is creativity is important in AI?
• Without using the creative muscles of his
brain, Newton could never thought outside the box of
scientific reasoning to come up with a new theory
about what made the apple fall from the tree.
• For a modern example lets look at late Steve jobs ,He
refined technology like the iPods .He used his
creativity to solve the problem of using existing
technology in the field of portable music.
• So any modern AI could not be considered without the
ability to think creativity.
13. • The human ability to have a sense of humour
is dependent on understanding how one
object is linked with other .
• The one AI system comes up in discussions
about joke making is JAPE(joke analysis and
production engine).Developed by british
computer scientist Graeme Ritchie and Kim
Binsted of the Edinburg university.
• Jape has the ability to tell the kind of jokes
(1001)using from a linguistics model of puns.
14. Human Mind learns from its mistakes and what he
sees, whereas there will be no tolerance in Robots for
the outputs.
Artificial flight succeeded when the Wright brothers
and others stopped imitating birds and learned about
the aerodynamics.
15. These laws had been proposed by Isaac Asimov :
1. A robot may not injure a human being .
2. A robot must obey the orders given to it by human
beings except where such orders would conflict with
the first law.
3. A robot must protect its own existence as long as
such protection does not conflict with the above
laws.
16. Fuzzy logic:
Autonomous cars
Chess and AI
Robocup
Chatterbots :ELIZA by Joseph Weizenbaum
etc
17. Fuzzy Logic: Apart from
bullian logic it is a system
intelligent enough to account
for degrees b/t two variables.
lotfi Zadeh
