Artificial Intelligence

"Artificial intelligence (AI) is defined as intelligence exhibited by an artificial entity. Such a system is generally assumed to be a computer." (Wikipedia: Artificial Intelligence)
This slowly evolving concept is being used now in a variety of fields: from genetic research, to search engines, from complex computers in space stations to amusing pet robots. The fact that it is so much used, and it is playing such a big role in our lives, can only mean that, somewhere in the future, the ultimate breakthrough will be made, and humans will be able to create machines with more "natural intelligence". By natural, meaning that the machines will be able to give the same answers and arguments for questions, as would normal human beings. Only a better understanding of the human mind could allow for such machines to exist. The fact that we still now so little about how we achieve thinking, how we are able to draw generally valid conclusions is the most important thing that keeps this new phenomenon from happening.
But what are the actual tasks that an artificial mind cannot do? At first glance, it would seem that it should be easier for the machines to do the things we do, because they would only have to think, they will never get tired and there won't be any natural laws to limit them.
The human thinking process is, from my inner observations, composed of several smaller tasks and aided by different capabilities. These all must be implemented in a machine, for it to function as we do. As an example, let's say that the light in our room has suddenly disappeared. How do we react when this situation occurs? The infinite number of circumstances can lead to an infinite number of thoughts that could go through our mind. But we can draw the basic ideas of how the human brain works from any scenario. The light has disappeared. This fact was established also by our brain from analyzing sensory receptors, but we'll ignore this for now. After the light gone out, in an instant, our mind started an inner "dialog". The "dialog" contained questions and answers like these: "Why has the light gone out? Hmmm.. the computer is still running, so it isn't a power failure. The switch is still on, so nobody is toying with me. I wonder if the light bulb got toasted..". This dialog isn't so obvious when dealing with simple, common situations like these. But try to see when you are solving a math problem, or are faced with a hard decision to make. See how you simply talk to yourself and try to reach a conclusion. The most important thing about our brain is that it has a language. A language is composed of abstract entities that have exterior and physical existence. Our Brain has to deal with the facts, but it can't do so, without giving labels. This layer of thinking seems to be already present in machines, in the form of software languages. However, software languages only label machine internal concepts, like the different hardware parts. So, a machine can't use software languages to label physical entities. The next step that was made was to manually implement such a language that could deal with real objects. This is the phase in which Artificial Intelligence is now. An AI capable machine is generally composed of hardware and software. The software has the "exhausting" responsibility to provide the machine with a good natural language. It does this by "brutally robotizing" the English language.
To be continued...


