KNOWLEDGE BASE OR BUST
Today after a hiatus of two and a half months we resume coding
http://mind.sourceforge.net/index.html the AI Mind in JavaScript.
First we change the "description" meta-tag to read: "Please find
room for this AI as mind.html on your own website so that others
may obtain it." The idea is to let the AI spread memetically
across the Web.
Our next goal is to obtain a working knowledge base (KB). That
goal is immensely worthwhile because, once our KB works reliably,
it will be like the http://www.cyc.com Cyc project, and we will
be able to pack the KB full of all kinds of mundane or expert
knowledge.
The source code left over from 29sep2001 still gives a transcript
with faulty KB reasoning:
Human: cats eat fish
Robot: CATS EAT FISH
32 28 10
Human: fish eat bugs
Robot: FISH EAT BUGS
20 41 10
Human: bugs eat dirt
Robot: BUGS EAT DIRT
20 41 10
Human: cats eat
Robot: CATS EAT BUGS
10 41 10
The AI gives the wrong answer in the fourth exchange because the
concept of "bugs" has retained too high an activation.
I ran the above four exchanges through only in Transcript mode so
that I could inspect the logic of the reasoning of the AI. Then I
went back and used the same inputs in Troubleshoot mode. I
obtained the same results, but this time each line of output had
the concept-activation numbers interspersed among the English
words of the output. I look at those three-number sets and I
think, gee, maybe I should have written the numbers down beneath
each of the four lines of output that I transcribed above. Then
I realize that I can run the same inputs all over again and write
down the numbers in red. Here goes. See above for the results.
Well, what do you know? The output activation-levels were the
same (20, 41, 10) in the middle two exchanges but different in
the first (32, 28, 10) and in the fourth (10, 41, 10), where I
entered only a partial sentence of "cats eat" in order to see
what the AI knew about cats.
Now, I myself as the programmer and theoretician Arthur T. Murray
realize how complex the deep mental processing is behind these AI
Mind outputs, but I do not immediately realize exactly what to do
in order to correct the problems and to perfect the knowledge
base (KB). I only know some general methods of tracking down and
analysing exactly what is happening in the artificial mind at
each stage in the process of thinking. The work is daunting, and
I think, am I up to this? Yes, I have to be, because nobody else
is going to understand the work that has gone before or is going
to have faith in the future of this project. When I finally have
a knowledge base that works reliably, then people will make the
effort to understand the AI and to develop it further.
