Goals Of Artificial Intelligence

The first part of my presentation is definitions and goals of Artificial intelligence.

Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence

It is ok, but what is the intelligence? Intelligence is the computational part of the ability to achieve goals in the world. There is not a solid definition of it because we cannot yet characterize in general what kinds of computational procedures we want to call intelligent. We understand some of the mechanisms of intelligence and not others.

As you can see on the screen, Artificial Intelligence has various goals such as put the human mind

People normally think that the Artificial intelligence is about simulating human intelligence, but, it is not always about it. On the one hand, we can learn something about how to make machines solve problems by observing other people or just by observing our own methods. On the other hand, most work in AI involves studying the problems the world presents to intelligence rather than studying people or animals.

Another common misconception is that intelligent machines have IQ. The IQ (intelligence quotient) of a person is a number resulting from the implementation of a standardized assessment to measure the cognitive abilities of that person in relation to their group of age.

We know that intelligence of a person is related to his IQ and that it in humans correlates well with various measures of success or failure in life, but making computers that can score high on IQ test would be weakly linked with their usefulness. For example, the ability of a child to repeat back a long sequence of digits correlates well with other intellectual abilities, perhaps because it measures how much information the child can compute with at once. However, “digit span” is trivial for even extremely limited

A leading researcher in humans human intelligence, suggest that all normal humans have the same intellectual mechanisms and that the differences in the intelligence are related to other characteristic such as the speed, short term memory, and the ability to form accurate and retrievable long term memories. Although this theory has not been confirmed, in the actuality, the situation in AI is completely the opposite because computer programs have plenty of speed and memory but their abilities correspond to the intellectual mechanisms that program designers understand well enough to put in programs.

For that, whenever people do better than computers on some task or computers use a lot of computation to do as well as people, this demonstrates that the program designers lack understanding of the intellectual mechanisms required to do the task efficiently. Some examples about it are the games Chess and