An article by Steve Lohr in today's Sunday New York Times about IBM
Watson's lack of success affords us a chance to discuss how True AI (i.e.
Mentifex AI) can pass a "second grade reading comprehension test" -- which
is currently beyond the power of IBM Watson's "AI".

Suppose that a mentifex-class Strong AI Mind reads in a second-grade-level
story, "A boy and a girl are in the kitchen. The girl puts a plate on the
table. The boy pushes the plate off the table."

To test reading comprehension, we can expect questions and  answers such as
the following.

Q. Where is the boy/girl/plate/table?
A. The boy/girl/plate/table is in the kitchen.

Q. Where is the plate?
A. The plate is off the table.

Q. Where is the kitchen?
A. I do not know.

The Mentifex AI Mind understands the situation of the story only in terms
of the language being used, namely subject-verb-object (SVO) sentences and
prepositional phrases. At first the AI knows that the plate is on the
table, because the girl puts it there. Then the AI knows not exactly where
the plate is, but only that it is "off the table" because of the act of
"push" by the boy.

If there is no prior experience of the words involved, the AI does not
understand each individual word, such as what a boy is or what a plate is.
The AI makes a concept out of each word but with only a shallow conceptual
knowledge. From the story alone, the AI understands each concept only in
terms of the other concepts. Over time, the AI will develop deeper
knowledge about each concept and about the world in general.

It seems a shame for IBM to spend so much time, money and talent on
developing Watson only to see it fall into desuetude. Any entity wanting to
go beyond Watson could look into the Mentifex AI mind-design and finally do
Watson in the correct True AI way.

Mentifex (Arthur T. Murray)
http://ai.neocities.org/NLU.html -- Natural Language Understanding;
https://www.mail-archive.com/agi@agi.topicbox.com -- list of messages    .

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