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Intelligence Way is Artificial

Posted on December 9, 2021 by Grant Tafreshi

Curiosity has always eluded man. This has led to a lot of inventions and discoveries. Among the best examples of man's creations is computer. Automatically a picture comes to our mind. They have the ability to do enormous computations, boring and repetitive tasks that took us time.

Just what the computer provides isn't the ability to become rigid or unthinking. But rather to act conditionally; sometimes this way, sometimes that, as appropriate. This means applying knowledge to action. Believe it or not, even here, attitude matters the most. We request these machines to do the job that we already know and do. But we need them to do faster and more accurately.

The irony is we people are attempting to generate intelligence through artificial manners. Its only the science of creating machines (making machines) which have intelligence and a little common sense. It is about how you plan a system so that it acts like humans. They could think, process information, can take decisions and act accordingly. Yes, we favor illusions to reality.

History could be related to early age Egyptians but this got its formal title'Artificial Intelligence' in Dartmouth Conference, Hanover, New Hampshire in 1956 under the guidance of John McCarthy. And the world came to learn about the level of human thinking. Many things followed. LISP or record processing, the language used for AI was designed by John McCarthy in 1958. In 1970, world got its first expert system in the area of health sciences for detecting blood ailments, MYCIN. Prolog or programming in logic, one of the AI's major languages has been developed by Japanese in 1972. 1 big thing that actually amazed world occurred in 1991 when a human chess master was defeated by a computer.

And rest they say is history...

There are numerous fields where it's found a fantastic reaction. The fields include:

* Game playing - Program a method for playing games such as chess.

* Expert Systems - Create a knowledge base, help systems to take decisions based on their expertise (knowledge in foundation ).

* Human Sensory Systems - Emulate human perceptions of vision and voice.

* Neural networks - Try to replicate connections (neurons) that exist within human mind and so simulate intelligence.

* Robotics - A favorite field. Program a system in such a manner it is able to see, understand and respond to the external stimuli.

The continuing success of adding intelligence to machines so that we don't distinguish whether it is a machine or a human being seems assured. However, the objective to replicate human intelligence or the idea to make a clone of people in intelligence is somewhat controversial. We're successful in creating robots (machines) that have the ability to produce answers in definite conditions. But still unable to duplicate our everyday conditions. We face uncertain circumstances. To adjust to these, we need thinking and common sense. Thinking is a set of psychological processes that go on in a subconscious mind. We do that intentionally also. Question still remains. If we have the ability to bring this believing in a deliberate manner, can we achieve that higher level of sub - consciousness?

Yes, sometimes things must be left for time to reply. So can a computer be smart, think, know and act in the same time, shouldn't be questioned now?.