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December 10th, 2010, 10:29 AM   #1
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Exhibition of Self-Approximation Algorithm and Program.

The aim of this exhibition is towards the reality of artificial intelligence AI in regards to a certain self awareness system that describes a model of a mathematical proof which postulates that at every chosen number there exist a turning point zero.

This tells us that all numbers can evolved out of nothing. It is a unified theory that unites all numbers and I have a program implemented with java to show for this.

Itís known that decimals even like 0.1, 0.2 cannot be presented exactly by floating point number. Even if you limit the number of decimal places you can still have them replaced by zeros.

However, the said model has the power to approximate and truncate towards zero after limiting the number of decimal places by itself.
Firstly, why it is that if an array of numbers plus 0.1 for example is programmed in command dos gives arbitrary changes?
Let say 3;
We have:
3.0
3.1
3.1
3.2
3.3000000000000003
3.4000000000000004
3.5000000000000004
3.6000000000000005

Also, let say 5;
We have:
5.0
5.1
5.199900000000000000
5.250000000000000
5.390000000000000Ö.

Instead of,
3.0
3.1
3.2
3.3
3.4
3.5Ö

And
5.0
5.1
5.2
5.3
5.4
5.5Ö
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December 10th, 2010, 11:53 AM   #2
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Re: Exhibition of Self-Approximation Algorithm and Program.

Quote:
Originally Posted by omegapoint
at every chosen number there exist a turning point zero
What is "turning point"?

Quote:
Originally Posted by omegapoint
This tells us that all numbers can evolved out of nothing. It is a unified theory that unites all numbers and I have a program implemented with java to show for this.
What does the program actually do? It takes something (a number? a collection of numbers?) and returns... what?

Quote:
Originally Posted by omegapoint
Itís known that decimals even like 0.1, 0.2 cannot be presented exactly by floating point number.
Binary floating-point, that is. This is because 0.1 and 0.2 are not of the form a / 2^b. In the same way, you can't write 1/3 as a terminating decimal number, but you can write it as a terminating number in base-9 (0.3).

But I don't find the base-10 or the base-2 representations of numbers to be particularly meaningful, and certainly not related to AI. Why do you?

Quote:
Originally Posted by omegapoint
However, the said model has the power to approximate and truncate towards zero after limiting the number of decimal places by itself.
Firstly, why it is that if an array of numbers plus 0.1 for example is programmed in command dos gives arbitrary changes?
You'll have to be more explicit. I imagine you would find that your problem stems from a lack of understanding of floating-point; I suggest reading (e.g.) What Every Computer Scientist Should Know About Floating-Point Arithmetic.
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December 22nd, 2010, 04:57 AM   #3
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Re: Exhibition of Self-Approximation Algorithm and Program.

Sorry for the late in reply.I have taken time to check those directions but here is the link to the stuff:global news via;
http://www.gliict.com
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