Curiosity has always eluded man. This has led to many inventions and discoveries. One of the best examples of man’s inventions is the computer. An image automatically comes to mind. They are capable of performing huge calculations, repetitive and boring jobs that took us a long time.
Exactly what the computer provides is not the ability to be rigid or thoughtless. But rather behave conditionally; sometimes this way, sometimes another, as appropriate. This means applying knowledge to action. Believe it or not, even here, attitude is the most important thing. We ask these machines to do the work we already know and do. But we want them to do it faster and more accurately.
The irony is that we humans are trying to produce intelligence through artificial means. It’s just the science of producing machines (making machines) that have intelligence and a bit of common sense. It’s about how you program a system to behave like humans. They can think, process information, they can make decisions and act accordingly. Yes, we prefer illusions to reality.
The story might be associated with the early Egyptians, but it got its formal name of ‘Artificial Intelligence’ at the Dartmouth Conference, Hanover, New Hampshire in 1956 under the direction of John McCarthy. And the world came to know about the level of human thought. Many things followed. LISP or List Processing, the language used for AI was developed by John McCarthy in 1958. In 1970, the world got its first medical science expert system for detecting blood infections, MYCIN. Prolog or logic programming, one of the main AI languages was developed by Japanese in 1972. A big thing that really shocked the world happened in 1991 when a human chess master was defeated by a computer.
And the rest they say is history…
There are several fields where you have found a good answer. Fields include:
* Game: Program a system to play games like chess.
* Expert Systems – Create a knowledge base, help systems make decisions based on their experience (knowledge based).
* Human sensory systems: emulates the human senses of voice and vision.
* Neural networks – Attempt to reproduce connections (neurons) that exist in the human brain and thus simulate intelligence.
* Robotics – A popular field. Program a system in such a way that it is able to see, understand and react to external stimuli.
The continued success of adding intelligence to machines so that we can’t tell if it’s a machine or a human seems assured. However, the goal of duplicating human intelligence or the idea of creating a clone of humans with intelligence is a bit controversial. We are successful in creating robots (machines) that can find answers in defined situations. But we still cannot duplicate our daily circumstances. We are facing uncertain situations. To adjust to these, we need to think and have common sense. Thought is a set of mental processes that occur in an unconscious mind. We do it deliberately too. The question still remains. If we are able to deliberately add this thought, will we be able to reach that higher level of subconsciousness?
Yes, sometimes you have to put things aside for time to respond. So can a computer be intelligent, think, understand and act at the same time, shouldn’t it be questioned now?
