The Main Issue Of Strong Artificial Intelligence

This article may or may not be seen as another part of a recent article named “Conceptualization Of Strong Artificial Intelligence“. The article had a great philosophical thinking and background, although it wasn’t really surveyable for most people because it had deep philosophical aspects that could not be understood by all people.

Therefore this article will try provide a nice view of the reason, why there still isn’t a good practical conceptualization of a strong artificial intelligence out there. As an opposite to the recent article, this one will go and show you the problem systematically. However, I just wanted to note as well, that you will not find such a deep, fundamental philosophical aspect in the content of a book of artificial intelligence as represented here in this article.

There are two different sides while trying to develop and conceptualize an computer software algorithm of a artificial intelligence (of a strong type of course). Those two sides are the main, basic sides. You can think of those two sides as a left hand side and a right hand side. On the left hand, we have the basic, fundamental philosophy of artificial intelligence. We try to develop concepts that will develop concepts and therefore bring as the true basis on which we can build (develop) practical implementations of strong artificial intelligence. On the right hand, we have all the theoretical as well as practical capabilities that gave us the nature (rules of physics) to make practical implementations of the deep philosophical basis.

At both sides, we try to research and conceptualize as much as possible. The main key of a strong artificial intelligence is to combine a perfect and extensive solution of both sides. Only a great fundamental basis of philosophy (theoretical concepts) and its practical capabilities will bring as the ultimate solution we are searching for.

And last but not least, there is the major main problem and issue of the compatibility. When we are focused at the left hand side, we make great progress in the fundamental philosophy, but are therefore not focused on the practical implementation, so we basically swim away in the philosophy. And as well as on the other, right, hand side, we can make great progress on the practical concepts of problem solving, but we lose the fundamental basis of concepts while thinking of a practical solution and manifestation of the problem.

Many people would think now, why we don’t simply break the problem of strong artificial intelligence into those two sides, and let one research team work on the one hand side and the other team on the other side? The answer is simple. Compatibility. While working on the fundamental philosophical basis on the one side, they will never make it, because they will not include the capabilities of the practical implementation. And while working with practical implementations on the other side, they will never make it as well, because they are not using the new concepts of fundamental philosophy that could lead them to the hypothetical solution of a practical conceptualization.

This is the main compatibility issue between the two major sides that will just both, together, bring us the ultimate solution at we are searching for. This main compatibility issue shows us that the sides are currently asymmetric. When we find and develop a theoretical concept (the ultimate philosophical basis) that will be compatible and fit with the practical capabilities of a hypothetical solution in a computer software algorithm, than we will find and bring the symmetry of the two sides together, and therefore develop the true strong artificial intelligence.

If the world will have enough patience, than I can promise it will see a new, very bright light on the sky very soon.

(Image source from the Science Museum HTTP server.)

- שָׁלוֹם ולהתראות ,לוקה

Copyright © 2008 by Luka Woititz