A Programming Language That Can Simulate Another Programming Language Is Intelligence Way is Artificial

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Intelligence Way is Artificial

Curiosity has always eluded man. This led to many inventions and discoveries. One of the best examples of human inventions is the computer. An image automatically comes to mind. They can perform huge calculations, repetitive and boring tasks that take us a long time.

Exactly what a computer provides is not the ability to be rigid or unthinking. But to behave more conventionally; sometimes so, sometimes so, accordingly. It means putting knowledge into action. Believe it or not, even here, attitude is paramount. We are asking these machines to do what we already know and do. But we want them to do it faster and more accurately.

Ironically, we humans are trying to produce intelligence through artificial means. It is simply the science of machines (making machines) with intelligence and some common sense. It’s about how you program a system to behave like humans. They can think, process information, make decisions and act accordingly. Yes, we prefer illusions to reality.

The history can be traced back to the early Egyptians, but it was officially named “Artificial Intelligence” in 1956 at the Dartmouth Conference in Hanover, New Hampshire, under the leadership of John McCarthy. And the world learned about the level of human thinking. Much followed. LISP, or list processing, a language used for artificial intelligence, was developed by John McCarthy in 1958. In 1970, the world’s first expert system in the field of medical sciences, MYCIN, was obtained for the detection of blood infections. Prolog, or programming in logic, one of the main languages ​​of artificial intelligence, was developed by the Japanese in 1972. A big event that really shocked the world happened in 1991 when a chess master was defeated by a computer.

They say the rest is history…

There are different areas in which he finds good answers. Areas include:

* Playing games – Program a system to play games like chess.

* Expert Systems – Create a knowledge base, help systems make decisions based on their experience (knowledge in the base).

* Human Sensory Systems – Mimic the human senses of sound and sight.

* Neural Networks – Try to replicate the connections (neurons) found in the human brain and thereby simulate intelligence.

* Robotics – Popular field. Program the system so that it can see, understand and react to external stimuli.

The continued success of adding intelligence to machines so that we cannot tell whether they are machines or humans seems certain. However, the goal of replicating human intelligence, or the idea of ​​cloning humans in intelligence, is somewhat controversial. We succeed in creating robots (machines) that can respond in certain situations. But still we cannot repeat our daily conditions. We face uncertain situations. To adapt to these, we need thought and common sense. Thought is a set of mental processes that take place in the unconscious mind. We do it on purpose. The question still remains. If we can consciously add this thought, can we ever reach that higher level of consciousness?

Yes, sometimes you have to put everything aside to answer. So, can a computer be intelligent, think, understand and act at the same time, should not be questioned now?

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