IBM quest for Artificial Intelligence

I have been keeping the following URL for months until now, having some time to read through.

IBM Journal of A.I 2005

It is a collection of journal published by IBM researchers in the field of A.I, aiming to give us a summary of what is happening like how far A.I has progressed, what are the future like and etc.

Message from the VP of Software Research, Alfred Spector, that we are still far from the realism promised or haunted by movies such as Matrix and Terminator, when a single consciousness spawn the life of machine.

To him, the ability of a 5 year old reasoning is still a remarkable impact and yet to date no A.I system is able to simulate that.

The only celebrations we could have is partial A.I systems which serves specialised purposes such as chess-brain, speech & handwriting recognition and document imaging.

As i read through the first article of "Architecture of Artificial Intelligence system", I couldn't understand much of it except that I reckon with some of the following facts:
1. Graph Algorithm - I developed one before, to determine the search result for a web site.
2. Computation restriction - They figure that they might have problems of computers coping with computations need of their researched theories. In this case, they probably need to look into Quantum Computing as well. (Another headache)
3. Using metaphor - They are actually trying to learnt something from Unix, since it is already proven.

Even though I don't understand much of it, I am worry less because by referring to the definitions of many keywords as following:
1. Tuples.
2. KR
3. horn-clause logic
4. LISP - This one I know
5. Prolog - This one also i know
6. CG
7. KIF
8. Begriffsschrift
9. First order logic
10. CNL

I would be able to understand it better if I had read about those keywords.. Let me share one skill to learning I.T, it is about definitions. If a lay person is able to figure out the keyword, then understanding a technical paper is not hard.

In all, I could see that they are trying to figure a generic way to allow language to be written in a programming environment and then convert it to structural way and etc. In between that, they need to do a lot of interim processes.

The only thing I can understand from the author is this:
The ideal architecture for true AI has not yet been found.

This is probably the biggest problem because you just don't know where to start and where to stop. From the author, you can notice that he had been trying to read as much material as possible, evaluating each of them and try to come out with a common ground. (This is hard job), the problem is that he is not sure who is right or wrong, what worst, he don't know what information to look for because there is no ideal architecture for A.I

To make things even complicated, there is just no direction for A.I where you have many researchers doing researches based on what they wanted to achieve. But none have come so far to complete something substantial, it is like as if Newton would do the calculus half way through and ended up having many other people coming up with different theories and method, giving the next generations headaches because we have to read through one by one.

Therefore, like the author said, the search for a ideal architecture for A.I is very important to cater for future development of A.I, otherwise there will be no end. The architecture is important to act as a direction, even though it is in theories but something must be there for researcher to focus on.

Without such directions, more and more things will come up as researchers pass on their partial work. More and more work needed to be done to parse through those papers in search for the ideal framework, consists of linked but unproven set of theorams to is able to cater for every possibilities.

Does this means that we need god to lead the way ? Newton was able to finish Calculus and Algebra because he saw the whole thing.

---------------evalet-------------------------
1. The problem with A.I?
2. why is A.I not progressing well?
3. why is mathematics important?
4. why is Newton so great?
5. what is it like to work for IBM A.I research?
6. The cost of partial work done?
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