What is an AI Technique

What is an Al Technique?

Intelligence requires knowledge but knowledge possesses less desirable properties such as, 1. It is voluminous. 2. It is difficult to characterize accurately. 3. It is constantly changing. 4. It differs from data by being organised in a way that corresponds to its application.

An AI technique is a method that exploits knowledge that is represented so that the knowledge captures generalizations and situations that share properties which can be grouped together, rather than being allowed separate representation. It can be understood by people who must provide the knowledge; although for many programs the bulk of the data may come automatically, such as from readings.

In many Al domains people must supply the knowledge to programs in a form the people understand and in a form that is acceptable to the program. Knowledge can be easily modified to correct errors and reflect changes in real conditions. Knowledge can be widely used even if it is incomplete or inaccurate. Knowledge can be used to help overcome its own sheer bulk by helping to narrow the range of possibilities that must be usually considered.

Following are three important AI techniques -

• Search - Provides a way of solving problems for which no more direct approach is available.

• Use of knowledge - Provides a way of solving complex problems by exploiting the structures of the objects that are involved.

• Abstraction - Provides a way of separating important features and variations from the many unimportant ones that would otherwise overwhelm any process.