2. TOPICS Page No.
What is an Intelligence?.......................3
What is AI?.......................................5
Ability to solve problems......................9
Applications....................................10
Artificial Neural Network(ANN)................
Limitations......................................18
What can AI systems not do yet?............19
Future of AI Technology.......................20
4. There are three kinds of Intelligence:
1.One kind understands for it self,
2.Another appreciates what others can
understand,
3.Third understands neither for itself nor
through others.
Intelligence relates to task involving higher
mental processes.
E.g.- Creativity,Solving problems,Pattern
recognition,Classification,Learning,
Language Processing,etc.
Intelligent machine is a system with
intelligence which is respected to behave as
intelligently as human.
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5. The term ‘Artificial Intelligence’ was first
coined by McCarthy in 1956.
AI is the branch of computer science and
engineering of making intelligent machines
especially intelligent computer programs.
AI also includes the fields like
Mathematics,Psychology,Philosophy,Biology,
Linguistics,etc.
According to Philosophy,it attempts to define
the meaning of either Artificial or
Intelligence.
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7. AI is the study of mental facilities
through the use of computational models.
Elaine Rich and Kevin Knight said that AI is
the study of how to make computers do
things at which at the moment,people do
better.
AI is a system with intelligence which is
expected to behave as intelligently as
HUMAN.
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8. Searching technics to solve a problem:
1.Breadth-First Search
2.Depth-First Search
3.Heuristic Search
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9. AI systems are in everyday use for identifying
credit card fraud , for advising doctors , for
recognizing speech and in helping complex
planning task.
Contents:
• Planning
• Pattern Recognition
• Ontology
• Robotics
• Epistemology
• Artificial Life
• Artificial Neural Network
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11. PLANNING:
• Planning Programs start with general
facts about the world and facts about
particular situation and statement of a
goal.
PATTERN RECOGNITION:
• Make senses in what it sees and hears.
• The two major divisors of pattern
recognition are (i)vision and (ii)sound.
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12. Pattern Recognize vision:
• It’s goal is to get a computer to recognize
pictures so that it can recognize objects in its
surrounding that would be helpful in robotics.
Pattern Recognize Sound:
• Its goal is to recognize sound which is helpful to
produce a new technologies in which a person
can interact with a computer by talking.
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13. ONTOLOGY:
• Ontology is the study of what objects are
and what are they made of.
• It is a science or a study of being: specially a
branch of metaphysics.
ROBOTICS:
• Robotics is the study of how to design, built,
use and work with robots.
• Robots are mechanical devices that can move
and react to sensory input giving them some
degree of autonomous control.
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15. EPISTEMOLOGY:
• Epistemology is a study of knowledge that
are required for solving problems in the
world.
• It is divided into two categories:
propositional knowledge and personal
knowledge.
• That deals with the branch of philosophy
concerned with the Nature and scope of
knowledge.
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16. ARTIFICIAL LIFE:
• Artificial life is a field of scientific study that
attempts to model living biological systems
through complex algorithms.
• Main goal of artificial-life research is to
construct living systems out of non-living parts.
ARTIFICIAL NEURAL NETWORK(ANN):
• Neural Network is a computational system
inspired by the Structure , Processing Method
and Learning Ability of a brain.
• In some cases an ANN is an adaptive system that
changes its structure based on external or internal
information that flows through the network.
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17. It is composed
of interconnecting
artificial
neurons(means
programming
constructs that
mimic the
properties of
biological
neurons).
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20. AI is used at the following fields::
• Medicines
• Artificial Nose
• Military
• Game AI
• Natural Language Processing(NLP)
• Expert Systems
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Use of AI
21. • In computer vision,systems are capable of
face recognition.
• In Natural language processing,there are
systems which are capable of simple
machine translation.
• Today’s Expert systems can carry out
medical diagnosis in a narrow domain.
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22. • Understand natural language robustly. e.g.,
read and understand articles in a
Newspaper.
• Surf the web.
• Interpret an arbitrary visual scene.
• Learn a natural language.
• Construct plans in dynamic real-time
domains.
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23. A Greater Use of Expert Systems.
Research assistants.
The Turing Test.
A Greater Use of Expert Systems:
Today Expert System get success as a diagnostic
in medicine and mechanics.
What kinds of dishes can one make tonight with
the food in the refrigerator? Input the foods into
a cook expert system and find it out.
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24. 24
• A pet expert system could ask some questions
related to person’s personality so that it can
conclude the types of animals that would be
suited for them.
25. Research Assistant
• The assistant can understand what one is
looking for, which requires natural language
processing.
The turing test
• In 1950,Alan Turing had given this test for
determining whether a machine can
think.
• There are two rooms, A and B. One of the
rooms contains a computer another
contains a human.
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26. The interrogator is
outside the room
and does not know
which one is a
computer.
To pass the Turing
test, the machine
has to fool the
interrogator into
believing that it is
human.
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