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-   -   3-3 (http://www.chiefdelphi.com/forums/showthread.php?t=66884)

BornaE 12-04-2008 22:38

Re: 3-3
 
Quote:

Originally Posted by XXShadowXX (Post 735711)
computer can not generate random, computer have not or will never understand random, random is something that can only be generated by a intelliegnce and then it can still be predicted to a degree.

Random in a computer is a complex algorithm faking random, its really really really really complex so the answers seem random but the more data you have the closer you can build a similar algorithm, see a math genius its possible.


Not really scouting skills just having Internet and sitting on TBA for the next four days straight

Agreed on the fact that computer cannot generate random, but the fact is that it has human input.
the computer can read the time that the operator tells to start the randomizers animation and use that random variable to generate where the balls will end up. This method would be truly random.

plus, if you get on TBA for the next 4 days,(which some of our people will actully do:D ) they will have quiete the best scouting DB.

BornaE 12-04-2008 22:40

Re: 3-3
 
Quote:

Originally Posted by Vikesrock (Post 735717)
If the pseudo-random algorithm uses the system clock as a seed it would be extremely difficult if not impossible to discern any type of pattern from watching matches as the exact time that the ball randomizer was run is not known. This is an easy and common way to get a good seed for a pseudo-random algorithm.

EDIT: The method mentioned by Uberbots above is also used and would also render any amount of match watching useless.

photofinish
nice

Uberbots 12-04-2008 22:44

Re: 3-3
 
Quote:

Originally Posted by XXShadowXX (Post 735720)
all dynamic systems are predictable see chaos theory...

If you can apply chaos theory to the FIRST scoring computers while watching a match, worrying about your team, and cheering your brains out (oink oink boom), then ill eat my hat.

and how is using the clock more complex to resolve? combining all registers in the processor is millions of unknowns (depending on the proc), including the clock..

Vikesrock 12-04-2008 22:56

Re: 3-3
 
Quote:

Originally Posted by XXShadowXX (Post 735720)
all dynamic systems are predicatable see choas theory...

more complex but it can be found, everything has answer and math hasn't falled us yet (or me)

I would contend that with the given information about the initial conditions (very little) and the size of the data set, that no actual pattern could be discerned. My guess is that any pattern that comes out of observing TBA matches would be coincidence and not actually related to the algorithm used in the randomization process.

BornaE 12-04-2008 23:01

Re: 3-3
 
Quote:

Originally Posted by XXShadowXX (Post 735720)
all dynamic systems are predicatable see choas theory...




more complex but it can be found, everything has answer and math hasn't falled us yet (or me)

You can figure out where the balls will be if you know the time, but you will not know the time.

GaryVoshol 13-04-2008 07:33

Re: 3-3
 
I agree that the algorithm won't be completely random. But you will likely have to go to several million regionals before you can detect the pattern. ;)

BornaE 13-04-2008 12:39

Re: 3-3
 
Quote:

Originally Posted by GaryVoshol (Post 735856)
I agree that the algorithm won't be completely random. But you will likely have to go to several million regionals before you can detect the pattern. ;)

Nice!!!!!!!!
one at the corner of every street every day:D

XXShadowXX 13-04-2008 17:03

Re: 3-3
 
Quote:

Originally Posted by GaryVoshol (Post 735856)
I agree that the algorithm won't be completely random. But you will likely have to go to several million regionals before you can detect the pattern. ;)

curses, you have point...


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