How do you make a Robot AI attracted to zebras?

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keghn

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Re: How do you make a Robot AI attracted to zebras?
« Reply #15 on: September 30, 2016, 04:12:38 pm »
 The brain creates, and uses a selfie image for each and every object, like a sphere, for a reference. A Saming algorithms is used
to find the error distance between the stored selfie reference and the one actual object being viewed.

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Re: How do you make a Robot AI attracted to zebras?
« Reply #16 on: October 01, 2016, 12:33:28 am »
@korrelan

The stored memories are in the storage located in the top right and left corners of the sphere.

And they are assorted too, meaning if you look at a hat, beside it are saved images of things that have the same color or brightness/shape.

Match techniques are used my friend of course. Also features.
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kei10

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Re: How do you make a Robot AI attracted to zebras?
« Reply #17 on: October 01, 2016, 01:05:39 am »
Match techniques are used my friend of course. Also features.

What match technique(s) are there to be used?
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Re: How do you make a Robot AI attracted to zebras?
« Reply #18 on: October 01, 2016, 04:34:32 am »
Sensory input enters and quickly selects the similar but best ranking memory - it doesn't take long and always selects very accurately.

If you are shown a image on the internet that you have never seen, and then later presented the next day upside down, you can correctly chose the correct image out of 5 that you had seen yesterday.

You know, all the match techniques like black&white, upside-down, flipped image, rotation, angle, brightness, etc.
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Art

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Re: How do you make a Robot AI attracted to zebras?
« Reply #19 on: October 01, 2016, 01:19:37 pm »
@ LOCKSUIT,

While human minds are capable of doing this "visualization and recall", robotic visual systems take complicated math and complex algorithms in order to accomplish this task. Best ranking memory sounds very simple but actually, it is not.

On the other hand, Facial recognition doesn't involve faces being turned upside down, yet the process is complex due to the vast difference between faces and ethnic origin, gender, race, age, etc.

In the world of AI, it's the thought that counts!

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Re: How do you make a Robot AI attracted to zebras?
« Reply #20 on: October 01, 2016, 07:25:51 pm »
Everything can be made simple.

Input searching for the best rank is easy. Think of them like bars, I see it in the sky.

Input searching for the similar match is easy. There is only 1 way it performs the match for all input. Whether upside-down, or another person's face, this way is carried out.

Do you agree that all input directly fires right to the match? When I see a robber or my mom - the input doesn't approach a memory, check it, back away (laughs), keeps on trying, then (10 minutes later) (during a upside-down physio pat-down) finds da match! Mama! I love her!
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Re: How do you make a Robot AI attracted to zebras?
« Reply #21 on: October 01, 2016, 08:52:24 pm »
Alright then.
Answer me this question.

Consider a situation where I hold a 3D object in front of you. Then I turned it around 180 degrees angle. What you can see is just this for both:



What is the shape of the object? -- or more specifically, can you possibly guess the "geometrical" shape of the object that I am actually intended to show you from this?
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Re: How do you make a Robot AI attracted to zebras?
« Reply #22 on: October 01, 2016, 09:45:44 pm »
 You didn't answer mine.........no one ever does.................

So, you are saying that after you turn the cube, I see the same darn thing!? What was the point of turning it bro...

Bro, listen, I see the image, and, it searches my stored memories and matches-n-selects the match - a cube - and the match is as you know, a STORED IMAGE, which, is linked to a STORED SOUND - square. And, on the other side of my diagrams - is the actions for each motor, and, the speak and write actions are linked to this sound. Square cube box package.

Snap, pop, crackle, flip
Cheese-burger . .
Snap, pop, crackle, flip
Cheese-burger . .
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Re: How do you make a Robot AI attracted to zebras?
« Reply #23 on: October 01, 2016, 10:04:29 pm »
You didn't answer mine.........no one ever does.................
I've already answered this OP's question, and I see no more question from you. Others have, too.


So, you are saying that after you turn the cube, I see the same darn thing!? What was the point of turning it bro....

Bro, listen, I see the image, and, it searches my stored memories and matches-n-selects the match - a cube - and the match is as you know, a STORED IMAGE, which, is linked to a STORED SOUND - square. And, on the other side of my diagrams - is the actions for each motor, and, the speak and write actions are linked to this sound. Square cube box package.

Cube? Sorry it's not a Cube. It's a Cylinder.



The basic notion of what I am telling you is that there is such a thing as perspective and illusion that tricks one's eye. If you made your visual algorithm to be "simple" with simple "matching" -- or your "black&white, upside-down, flipped image, rotation, angle, brightness", then it might as well as broken.
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Re: How do you make a Robot AI attracted to zebras?
« Reply #24 on: October 02, 2016, 02:14:43 am »
Below is my question no one answered bro:

Quote
Everything can be made simple.

Input searching for the best rank is easy. Think of them like bars, I see it in the sky.

Input searching for the similar match is easy. There is only 1 way it performs the match for all input. Whether upside-down, or another person's face, this way is carried out.

Do you agree that all input directly fires right to the match? When I see a robber or my mom - the input doesn't approach a memory, check it, back away (laughs), keeps on trying, then (10 minutes later) (during a upside-down physio pat-down) finds da match! Mama! I love her!

Ah, so it was a cylinder. You said both angles will only show a cube (and you even added a image of a cube). I couldn't know it was a cylinder. Now, as for this, how?, well, with my system, the way it knows it is a cylinder and not a cube or circle is by when you see it on a angle that shows both the side (round) and top smoke-outlet (it's flat top) - this image matches the stored image - and you assert it is a cylinder no matter if you soon see a circle-only. It's that simple. Here, I'll give an example - murder in my room - kills my mom - and he turns into my girlfriend/mom - and I go to kill HIM because even though I see a pretty girl I STILL initiate my "kill actions" either on cue or self-initiate (ex. eyes close n no cue). TA DA!
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Art

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Re: How do you make a Robot AI attracted to zebras?
« Reply #25 on: October 02, 2016, 02:41:53 am »
@ LOCKSUIT

While I will agree that everything can be broken down to its simplest terms or pieces, not everything can be made simple.

To quote from Emerson M. Pugh, -  “If the human brain were so simple that we could understand it, we would be so simple that we couldn’t.”

Again, you're talking about seeing your mom's face yet your initial premise was about robots. The robot doesn't just "look" at an image and immediately have a match for it. It goes through the necessary steps of its programming, first looking at the image, adjusting any necessary lighting via outside source or via lens aperture, to the necessary graphical processing units, to its storage system, sorting through the possibly vast assortment of other images then giving weighted values to the ones that might seem to be "similar" in nature to the one being viewed. When it has determined its "best candidate" from possibles, it decides on one that hopefully will be correct. 9.7 out of 10 times, it will be.

All of this from start to finish might take a whopping 5 to 8 or 10 seconds, some shorter, some longer, but astounding, none-the-less. The robot visual pattern matching will definitely improve over time as better algorithms and formulas are implemented and faster hardware is developed. It will soon approach if not surpass human abilities in this area.

So, while I'm not bashing your post, I am stating that only under certain and possibly some extreme conditions could things be made simple, but not all...not everything and not for everybody.

A university professor can "make simple" particle physics to a student but that same professor might not be able to make it simple to a 5th grader.

Everything can be broken down to the component parts of a robot but it's operation can not be made any simpler than it is. (if it is).
 O0
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Re: How do you make a Robot AI attracted to zebras?
« Reply #26 on: October 02, 2016, 03:32:47 am »
Luckily I will tell you that all of my algorithm can be easily explained to 2cd graders. I have an itch they would just accept it more too. That may be in part why. They'd run around saying it too. It's just 1 of my last resorts if all fails. Gotta try everything.

If I get ready for a game contest or just natural daytime living - as soon as a image is shown - I can instantly follow its instruction or see the matching memory+any linked ex. those are Kleenex boxes & are for cleaning. No 10 seconds eva - the 10 seconds IS matching but it is attempts at it and each time the bucket gets filled a little more until pop - its that burglar from yesterday. As said, input immediately fires right to the match and probably doesn't even backup - it takes one-path!
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Re: How do you make a Robot AI attracted to zebras?
« Reply #27 on: October 02, 2016, 04:09:53 am »
While I will agree that everything can be broken down to its simplest terms or pieces, not everything can be made simple.

Again, you're talking about seeing your mom's face yet your initial premise was about robots. The robot doesn't just "look" at an image and immediately have a match for it. It goes through the necessary steps of its programming, first looking at the image, adjusting any necessary lighting via outside source or via lens aperture, to the necessary graphical processing units, to its storage system, sorting through the possibly vast assortment of other images then giving weighted values to the ones that might seem to be "similar" in nature to the one being viewed. When it has determined its "best candidate" from possibles, it decides on one that hopefully will be correct. 9.7 out of 10 times, it will be.
Murderer in my room - kills my mom - and he turns into my girlfriend/mom - and I go to kill HIM because even though I see a pretty girl I STILL initiate my "kill actions" either on cue or self-initiate (ex. eyes close n no cue). TA DA

No 10 seconds eva - the 10 seconds IS matching but it is attempts at it and each time the bucket gets filled a little more until pop - its that burglar from yesterday. As said, input immediately fires right to the match and probably doesn't even backup!

That is the fault of the simpleness of your algorithm. Take a look -- if it is not simple, one would restrain instead of killing the murderer.

If one were to be more advanced, where one would have such a thing as "emotion" -- then one would rather seek the truth. One would attempt to be forgiving and take their patience and time to find answers. One would attempt to think outside the box...

Such as one wouldn't attempt to guess that it is a cube at first glance of my example picture. When you have an answer from a match, it does not stop there. It is required to gather every single match before going through the process of determining which is the right one -- the process known as elimination.

I am sure one've done that in school during examinations. Objective questions provides four possible choices; A, B, C, and D. If one were unable to answer the question due to unable to remember correctly, one might not notice, but everyone uses the process of elimination to find the last possible choice, and that final choice may be the answer -- once again one would say "may be", because even though one have found the answer, it still doesn't mean that it is correct.

Just as Art said, it goes through the necessary steps before jumping conclusions.

One would ask the murderer about how the hell the burglar gets in, find his way into the house, and who the murderer is, before jumping conclusions thinking that the murder is the burglar and started killing him at once.

While murdering people, by itself, is already wrong, no matter what happened, that is if you decided to kill the murderer, that you'll become the murderer by itself -- which in turn, you'll be arrested as well, unless the murderer resisted and died as a result of one's self-defense.

Derived from your example, if it is "simple", then it might as well as your AI easily becoming a broken killing machine with an ever so slightly poke.

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Art

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Re: How do you make a Robot AI attracted to zebras?
« Reply #28 on: October 02, 2016, 12:25:13 pm »
@ LOCKSUIT - "Luckily I will tell you that all of my algorithm can be easily explained to 2cd graders."

Really? How can the complex mathematics of an image targeting, locating and identification processing and reaction possibly be explained to 2nd graders.

Do you mean just the words I typed above?. If they were read to the 2nd graders then they might "understand" the concept but their minds could not possibly understand the math and formulas involved that enable the robot to accomplish those tasks. It cannot be made simple enough for their young minds to grasp or understand, no matter what you might think. The math and programming alone would be enough to intimidate most high schoolers.





 
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Re: How do you make a Robot AI attracted to zebras?
« Reply #29 on: October 02, 2016, 01:41:50 pm »
The math and programming alone would be enough to intimidate most high schoolers.
Even I am intimidated by.  ;D
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