What is Artificial Intelligence?

According to the father of Artificial Intelligence John McCarthy, it
is “The science and engineering of making intelligent machines,
especially intelligent computer programs”.
Artificial Intelligence is a way of making a computer, a
computer-controlled robot, or a software think intelligently, in the
similar manner the intelligent humans think.
AI is accomplished by studying how human brain thinks, and how humans
learn, decide, and work while trying to solve a problem, and then using the
outcomes of this study as a basis of developing intelligent software and
systems.
Philosophy of AI

While exploiting the power of the computer systems, the curiosity of
human, lead him to wonder, “Can a machine think and behave like humans do?”
Thus, the development of AI started with the intention of creating
similar intelligence in machines that we find and regard high in humans.
Goals of AI

·
To Create Expert Systems: The systems which
exhibit intelligent behavior, learn, demonstrate, explain, and advice
its users.
·
To Implement Human Intelligence in Machines: Creating systems
that understand, think, learn, and behave like humans.
What Contributes to AI?

Artificial intelligence is a science and technology based on
disciplines such as Computer Science, Biology, Psychology, Linguistics,
Mathematics, and Engineering. A major thrust of AI is in the development of
computer functions associated with human intelligence, such as reasoning,
learning, and problem solving.
Out of the
following areas, one or multiple areas can contribute to build an intelligent
system.

Programming Without and With AI

The programming
without and with AI is different in following ways:
Programming Without AI
|
Programming With AI
|
|||
A
computer program without
|
AI
|
can
|
A computer program with AI can answer the
|
|
answer the specific questions it is
meant
|
||||
generic questions it is meant to solve.
|
||||
to solve.
|
||||
AI programs can
absorb new modifications by
|
||||
Modification
in the program
|
leads
|
to
|
putting
highly independent pieces
of
|
|
information together. Hence you can modify
|
||||
change in its structure.
|
||||
even a minute piece of information of program
|
||||
without affecting its structure.
|
||||
Modification is not quick and easy. It may
|
Quick and Easy program modification.
|
|||
lead to affecting the program adversely.
|
||||
What is AI Technique?

In the real
world, the knowledge has some unwelcomed properties:
·
Its volume is
huge, next to unimaginable.
·
It is not
well-organized or well-formatted.
·
It keeps changing
constantly.
AI Technique is a
manner to organize and use the knowledge efficiently in such a way that:
·
It should be
perceivable by the people who provide it.
·
It should be
easily modifiable to correct errors.
·
It should be
useful in many situations though it is incomplete or inaccurate.
AI techniques
elevate the speed of execution of the complex program it is equipped with.
Applications of AI

AI has been
dominant in various fields such as:
·
Gaming
AI plays crucial role in strategic games such as
chess, poker, tic-tac-toe, etc., where machine can think of large number of
possible positions based on heuristic knowledge.
·
Natural Language Processing
It is possible to
interact with the computer that understands natural language spoken by humans.
·
Expert Systems
There are some applications which integrate
machine, software, and special information to impart reasoning and advising.
They provide explanation and advice to the users.
·
Vision Systems
These systems
understand, interpret, and comprehend visual input on the computer. For
example,
o A spying aeroplane takes photographs
which are used to figure out spatial
information or
map of the areas.
o Doctors use clinical expert system to diagnose the patient.
o Police use computer software that can
recognize the face of criminal with the
stored portrait
made by forensic artist.
·
Speech Recognition
Some intelligent systems are capable of hearing and comprehending the
language in terms of sentences and their meanings while a human talks to it. It
can handle different accents, slang words, noise in the background, change in
human’s noise due to cold, etc.
·
Handwriting Recognition
The handwriting recognition software reads the text written on paper
by a pen or on screen by a stylus. It can recognize the shapes of the letters
and convert it into editable text.
·
Intelligent Robots
Robots are able to perform the tasks given by a human. They have
sensors to detect physical data from the real world such as light, heat,
temperature, movement, sound, bump, and pressure. They have efficient
processors, multiple sensors and huge memory, to exhibit intelligence. In
addition, they are capable of learning from their mistakes and they can adapt
to the new environment.
History of AI

Here is the
history of AI during 20th century:
Year
|
Milestone / Innovation
|
|||
1923
|
Karel ÄŒapek’s
play named “Rossum's Universal Robots” (RUR) opens in London,
|
|||
first use of
the word "robot" in English.
|
||||
1943
|
Foundations for
neural networks laid.
|
|||
1945
|
||||
Isaac Asimov, a Columbia University alumni, coined the
term Robotics.
|
||||
Alan Turing
introduced Turing Test for evaluation of intelligence and published
|
||||
1950
|
Computing Machinery
and Intelligence. Claude Shannon
published Detailed
|
|||
Analysis of
Chess Playing as a search.
|
||||
1956
|
John McCarthy
coined the term Artificial Intelligence. Demonstration of the first
|
|||
running AI
program at Carnegie Mellon University.
|
||||
1958
|
John McCarthy
invents LISP programming language for AI.
|
|||
1964
|
Danny Bobrow's
dissertation at MIT showed that computers can understand
|
|||
natural
language well enough to solve algebra word problems correctly.
|
||||
1965
|
Joseph
Weizenbaum at MIT built ELIZA, an interactive problem that carries on
|
|||
a dialogue in
English.
|
||||
1969
|
Scientists at
Stanford Research Institute Developed Shakey, a robot, equipped
|
|||
with
locomotion, perception, and problem solving.
|
||||
1973
|
The Assembly Robotics group at Edinburgh
University built Freddy, the Famous
|
||
Scottish Robot, capable of using vision to
locate and assemble models.
|
|||
1979
|
The first computer-controlled autonomous
vehicle, Stanford Cart, was built.
|
||
1985
|
Harold Cohen created and demonstrated the
drawing program, Aaron.
|
||
Major advances in all areas of AI:
|
|||
·
Significant demonstrations in machine learning
|
|||
·
Case-based reasoning
|
|||
·
Multi-agent planning
|
|||
1990
|
·
|
Scheduling
|
|
·
Data mining, Web Crawler
|
|||
·
natural language understanding and translation
|
|||
·
|
Vision, Virtual Reality
|
||
·
|
Games
|
||
1997
|
The Deep Blue Chess Program beats the then
world chess champion, Garry
|
||
Kasparov.
|
|||
Interactive robot pets become commercially
available. MIT displays Kismet, a
|
|||
2000
|
robot with a face that expresses emotions. The
robot Nomad explores remote
|
||
regions of Antarctica and locates meteorites.
|
|||
What is Intelligence?

The ability of a system to calculate, reason,
perceive relationships and analogies, learn from experience, store and retrieve
information from memory, solve problems, comprehend complex ideas, use natural
language fluently, classify, generalize, and adapt new situations.
Types of Intelligence

As described by Howard Gardner, an American
developmental psychologist, the Intelligence comes in multifold:
Intelligence
|
Description
|
Example
|
|||
Linguistic
|
The ability to speak,
recognize, and use mechanisms
|
||||
of phonology (speech sounds), syntax (grammar),
|
Narrators,
Orators
|
||||
intelligence
|
|||||
and semantics (meaning).
|
|||||
The ability to
create,
|
communicate
with, and
|
Musicians,
|
|||
Musical intelligence
|
understand meanings made of
sound, understanding
|
Singers,
|
|||
of pitch, rhythm.
|
Composers
|
||||
Logical-
|
The ability of use and
understand relationships in the
|
Mathematicians,
|
|||
mathematical
|
absence of action or objects. Understanding complex
|
Scientists
|
|||
intelligence
|
and abstract
ideas.
|
||||
The ability to perceive visual or spatial
information,
|
Map
|
readers,
|
|||
Spatial intelligence
|
change it,
and re-create visual
images without
|
Astronauts,
|
|||
reference to
the objects,
|
construct 3D
images, and
|
||||
to move and rotate them.
|
Physicists
|
||||
Bodily-Kinesthetic
|
The ability to use complete or part of the body
to
|
||||
solve problems or fashion
products, control over fine
|
Players,
Dancers
|
||||
intelligence
|
|||||
and coarse motor skills, and manipulate the
objects.
|
|||||
Intra-personal
|
The ability to distinguish among one’s own
feelings,
|
Gautam Buddha
|
|||
intelligence
|
intentions, and
motivations.
|
||||
Interpersonal
|
The ability to recognize and
make distinctions among
|
Mass
|
|
Communicators,
|
|||
intelligence
|
other people’s
feelings, beliefs, and intentions.
|
Interviewers
|
|
You can say a
machine or a system is artificially intelligent when it is equipped with
at least one and at most all intelligences in it.