Thanks guys again.
To Daniel, the full story that lead me to that question is that I had read that Stockfish bench ceased to be deterministic when using more than 1 thread and that some randomness is introduced. I was wondering whether this randomness in the total nodes searched was truly random or not. I thought that this number would depend on the threads/cores speed which in turn depends on the temperature that isn't deterministic and other random parameters probably. So I came to IRC asking the question in the #programming channel and the guys there told me that I could never generate truly random numbers out of a chess engine. But they didn't give me any explanation, at least that I could understand.
That's why I decided to gather some data and test stuff to see if I could answer the question. I still can't. But at least the true randomness is not discarded.
By the way I've just collected 1500 more numbers, it took over 8 hours to generate. I've ran the Bartels rank test again with null hypothesis : true randomness and alternative hypothesis : non randomness, trend and oscillation. The pvalue was well over 0.05 in all cases so that I didn't discard the null hypothesis.
Using Stockfish as a true random number generator, possible?
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Re: Using Stockfish as a true random number generator, possi
I've read that good pseudo random number generators can pass all kind of tests and that to answer my question I would have to answer it from first principles. As as I understand it, it means that someone who has the knowledge on how Stockfish SMP (or other chess engines SMP part) code works could answer to my question. I am not qualified enough (not a programmer).
So if Bob Hyatt, Ronald de Man, Lucas Braesch, Marco Costalba, etc. know the answer, I'd appreciate a yes/no answer.
Thanks!
So if Bob Hyatt, Ronald de Man, Lucas Braesch, Marco Costalba, etc. know the answer, I'd appreciate a yes/no answer.
Thanks!
Re: Using Stockfish as a true random number generator, possi
What do you mean when you say "truly random"? The number of nodes searched usingIsaac wrote: I had read that Stockfish bench ceased to be deterministic when using more than 1 thread and that some randomness is introduced. I was wondering whether this randomness in the total nodes searched was truly random or not.
bench 32 2 20 default depth
is a random variable. I assume it's normally distributed, and you could estimate the mean and variance.
What exactly do you mean when you say "true random number generator"? I'm not sure you understand what you are asking in this thread.
Re: Using Stockfish as a true random number generator, possi
It is not normally distributed although it pretty much looks like it is. It isn't because there's a lower bound (0) and I think that this removes the possibility of the data to follow a normal distribution. Though as I wrote in the first post of this thread, I've performed the ShapiroWilk test that told me how close to normally distributed the data is. Turns out it was pretty close to it. I had calculated the mean and variance (standard deviation in fact). A funny fact is that the mean is very different from the signature (i.e. nodes searched) when I ran the command "stockfish bench 32 1 16".zullil wrote:What do you mean when you say "truly random"? The number of nodes searched using
bench 32 2 20 default depth
is a random variable. I assume it's normally distributed, and you could estimate the mean and variance.
What exactly do you mean when you say "true random number generator"? I'm not sure you understand what you are asking in this thread.
By true random number generator I mean whether Stockfish total nodes searched depend on an unpredictable physical process such as temperature of the threads or something like that.
Re: Using Stockfish as a true random number generator, possi
When using multiple threads, it depends on things like OS thread scheduling, the hardware timer used to decide when an OS thread quanta expires, and occasionally the order that different threads try to access the same TT entry and whether they see it in a shared (e.g. L3) cache or in RAM. And maybe also things like hyperthreading, CPU frequency being stepped up and down by power management, etc. So there is very likely some entropy there in the sense that it depends on factors external to the chess engine process, that are unpredictable and for practical purposes could be treated as "random". The amount of entropy it adds may vary a lot depending on your configuration, though. For some machines, it might be rather small, but I guess it would not usually be zero.Isaac wrote:It is not normally distributed although it pretty much looks like it is. It isn't because there's a lower bound (0) and I think that this removes the possibility of the data to follow a normal distribution. Though as I wrote in the first post of this thread, I've performed the ShapiroWilk test that told me how close to normally distributed the data is. Turns out it was pretty close to it. I had calculated the mean and variance (standard deviation in fact). A funny fact is that the mean is very different from the signature (i.e. nodes searched) when I ran the command "stockfish bench 32 1 16".zullil wrote:What do you mean when you say "truly random"? The number of nodes searched using
bench 32 2 20 default depth
is a random variable. I assume it's normally distributed, and you could estimate the mean and variance.
What exactly do you mean when you say "true random number generator"? I'm not sure you understand what you are asking in this thread.
By true random number generator I mean whether Stockfish total nodes searched depend on an unpredictable physical process such as temperature of the threads or something like that.
But I guess an important q. is, what are you treating as the "output" that you would try to collect this entropy from? If you were to make a cryptographic hash of the entire transposition table after a multithreaded search, e.g. an SHA1 hash, your chance of getting the same SHA1 hash value from two searches with the same input parameters, should be small. But there might be some searches where it isn't. But hashing a 100MB table down to 16 bytes would probably be OK as source of entropy, as long as multiple threads were used in the search. There are surely easier ways to collect entropy, but I guess you could do that.
But if you were instead to only look at the move chosen by the engine after the search, or at the outcome of the game, then most of the entropy would be lost and you would get very predictable, nonrandom results.
Some other reading that might be interesting:
A blog post about random number generation in linux
Wikipedia article about hardware RNGs
http://stackoverflow.com/questions/1998 ... poolwork
2003 Wired article about Lavarand
Re: Using Stockfish as a true random number generator, possi
I should have said "modeled using a normal distribution".Isaac wrote:It is not normally distributed although it pretty much looks like it is. It isn't because there's a lower bound (0) and I think that this removes the possibility of the data to follow a normal distribution.zullil wrote:What do you mean when you say "truly random"? The number of nodes searched using
bench 32 2 20 default depth
is a random variable. I assume it's normally distributed, and you could estimate the mean and variance.
What exactly do you mean when you say "true random number generator"? I'm not sure you understand what you are asking in this thread.

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 Full name: Michael Sherwin
Re: Using Stockfish as a true random number generator, possi
I know that I am nowhere close to being in the loop on this one, but ...
Can a geiger counter be connected to a computer and a program be written for it's input that would produce real random numbers?
Can a geiger counter be connected to a computer and a program be written for it's input that would produce real random numbers?
I hate if statements. Pawns demand if statements. Therefore I hate pawns.