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You should remember that each human being has a different kind of intelligence level. You have seen a lot of
examples based on intelligence in your daily life such as one might be a master in drawing, while the other might
be a master in solving complex equations. One is able to write and speak English efficiently, while the other is
able to write Hindi efficiently.

ARTIFICIAL INTELLIGENCE
In the previous class, you have learnt that the term Artificial Intelligence is composed of two words i.e. Artificial
and Intelligence. The word Artificial means non-natural, i.e. anything that is man-made and Intelligence refers to
the ability to understand, think and learn. So, Artificial Intelligence refers to the ability of machines or computer
programs to carry out certain tasks that require human beings to use their intelligence. In simple terms, AI is an
approach to make a computer, a robot, or a product to think how smart humans think.
The field of Artificial Intelligence is a combination of different disciplines such as Computer Science, Biology,
Psychology, Philosophy, Mathematics and Engineering for creating intelligent systems that behave as a human in
terms of thinking, learning and differentiating between right and wrong.

Computer
Science

Physiology Mathematics

Artificial
Intelligence

Psychology Science

Philosophy

In general, the term ‘Artificial Intelligence’ refers to the simulation of human intelligence in machines that are
programmed to think as humans and mimic their actions. This term may also be applied to any machine that
exhibits traits associated with a human mind such as learning and problem-solving.
Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine
can easily mimic and execute tasks, from the most simple to those that are even more complex.

Goals of AI

The goals of artificial intelligence include learning, reasoning, problem solving and perception.
u Learning: It is the activity of gaining knowledge or skill by studying, practicing, being taught or experiencing
something. Learning enhances the awareness of the subjects of the study.

u Reasoning: It is the set of processes that enables machines to provide basis for judgment, making decisions
and prediction.

u Problem Solving: It is the process in which a machine perceives and tries to arrive at a desired solution from
a present situation by taking some path. It also includes decision-making.

u Perception: It is the process of acquiring, interpreting, selecting and organizing sensory information.
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