Robot Judge (Human Artificial Intelligence)
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The robot is a judge and
his responsibility is to deliberate a verdict in a
court case. During the case, the robot has to listen
to both sides of the story (both, plaintiff and
defendant). Occasionally, the robot would ask
questions to clarify certain events or steer the
conversation in a certain direction. These are
strategies judges use to uncover the truth. While
the robot is listening to witnesses, his mind is
creating a fabricated movie on words listened to. In
other words, he is imagining a linear story of what
happened in his mind. This fabricated movie is made
up of pictures, animation, 5 sense data, and
diagrams. At the end of the witnesses story, the
robot has an understanding of what happened through a
fabricated movie in his mind.
After listening to both
sides, the robot has a pretty good idea of each side,
which is usually conflicting. The next step is for
the robot to determine what really happened. He uses
common sense and logic to rule out inconsistencies
and ambiguous events. He will ultimately create a
truth story in his mind about what really happened.
Determining what is true and what is made up will
depend on the robot's (the judge's) analytical
skills. Sometimes the robot can spot a lie by the
tone of voice from a witness or from what they say,
or from their facial expressions.
Well, determining the
truth and fabricating a story timeline of what really
happened is very important in a case. Next, the
robot will take the truth story and apply the law
system. Determining if the defendant deserve to pay
for damages will depend on the law. The robot will
use standard logic taught in law school to create a
verdict for the case.
I think we have to
revisit how the robot fabricates a story in his mind
from someone's spoken words. As words are listened
to by the robot, images, sound and 5 sense data
activate in the robot's mind. The robot's conscious
has a computer program that takes these images and 5
sense data and create a make believe movie. This
fabricated movie is very blurry and chaotic (kind of
like a dream) but the information there is enough to
tell the robot what the story is about.
As you can see from the
video, the meaning to words spoken are just images,
arrows, and sound text flashing in the robot's mind.
Sometimes, the robot can activate 2 images and
fabricate a brand new animation based on these 2
images. Or the robot's mind can take a picture of a
front view of someone and fabricate a back view of
that person. Thus, the robot's mind can make things
up and can imagine "anything". For example, i want
the viewer to imagine something they have never seen
before. Imagine the president of the United states
in a library, dressed up as spiderman, sitting on a
chair, and reading a blue book. Your mind was able
to fabricate this mental image.
The remarkable thing
about this is that there are no images stored in your
brain on the president with a spiderman costume. You
have never seen the president with a spiderman
costume anywhere (newspapers, real life, on tv, or
over the internet). Your mind is able to take bits
and pieces of images from memory and to fabricate a
brand new image. This is the real difference between
modern search engines and a human brain.
When i was making this
video, i was using the image searches online from
google and bing. I had a very hard time finding
images that i was looking for. For example, i wanted
to search for an image of a courtroom, a back view of
the judge and the front view of 2 witness standing in
front of 2 desks. The search engines provided maybe
1 or 2 relevant images. However, these images found
are completely different from what i was searching
for. I wanted the picture to be in cgi or in
realistic cartoon. Next, I kept searching and
searching and found nothing. As you can see from the
video, I had to find individual images and do some
cut, copy and paste.
Using different search
terms are useless because some things I want to find
online are visual cues or motions or a feeling, which
can't be expressed through computer text. The goal
of a person to search for images online is much
deeper than just search terms. You have to consider
composition, color, perspective, media types, size of
objects, relevant objects, focused objects, camera
angles, lighting, dynamic poses, object actions,
object placement, etc. The current search engines
simply finds images that exist online, but it doesn't
create new images not stored online. A human brain
can do what a search engine can do, and at the same
time, it can fabricate brand new images or movies
based on data in memory.