Understanding natural language using human
level artificial intelligence
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This robot is analyzing
a picture using human intelligence. After analyzing
the picture, he will be asked several questions. This
video is about demonstrating how a human robot thinks
while analyzing a picture and answering questions on
the picture.
This video shows that
when a robot stores a memory of a picture, he doesn't
just store the picture, pixel-by-pixel. He stores the
observation and logic when seeing the picture. This
includes what the robot is focused on at any given
moment and panning to the right or left, etc. Also,
logical facts during observation are discovered by
the robot. These facts, comments, observations,
personal likes/dislikes and so forth are also stored
in the picture in sequence order.
In order for an
intelligent robot to answer questions based on a
picture, he has to rewind a videotape in his mind on
the picture and to derive facts from this videotape.
The robot's brain forgets information as well. If
questions were asked about the picture 2 minutes
after seeing the picture, the robot will have a
detailed memory of the picture. However, if questions
were asked 2 months after seeing the picture, the
data will be fuzzy, and in some cases, forgotten from
memory.
Teachers teach the
robot how to analyze a picture. Teachers also teach
the robot how to answer questions from the picture.
After years and years of examples, the robot's brain
creates a universal pathway so that he can analyze
"any" picture and answer "any" question from said
picture.
No modern AI methods
are used here. My robot doesn't use expert systems,
machine learning, neural networks, bayesian's
network, decision trees, data mining, language
parsers, common sense systems, rule-based systems,
genetic programming, etc. All information and all
cognitive skills are learned from teachers in school.