I might add that an unexpected benefit of running this study is that I'm
now aware of a scalability issue in FatMan.    

I probably should have put Lazarus in the study instead - it's a good
bit stronger and now I would like to know if it has a similar problem!

- Don


Don Dailey wrote:
> Jacques BasaldĂșa wrote:
>   
>> Hideki Kato wrote:
>>
>>     
>>>> It's rather odd.   I'm checking the log file and then I will check the
>>>> source code to see if I have some artificial limits in there.
>>>>         
>>     
>>> Why odd?  It all depends on the bias or policy of simulations.  If
>>> there is a flaw in the policy, the score will converses to the score
>>> with some error, which will introduce some limit of scalability,
>>> isn't it?
>>>       
>> That is a very good point. Perhaps it is not the case with FatMan, but
>> that may surely happen. In this study no program is playing with
>> uniformly random playouts and perhaps only uniformly random playouts
>> will scale to perfection. Of course, I can imagine that reaching the
>> strength of Mogo_13 with uniformly random playouts can require a
>> number of simulations that is not feasible. So I don't have any idea
>> about how to improve the study, but this is a serious limitation that
>> has to be considered: If you find some ceiling, the ceiling may be
>> attributed to the playout policy, not to UCT.
>>     
> I think there is a performance bug in FatMan causing the lack of
> scalability.   FatMan should play perfectly given enough time but it
> looks like it stopped.
>
> For instance one problem that would make it stop improving is an
> arbitrary limit on depth.   I do have an arbitrary limit of 30 ply, 
> but  I don't think this is a problem at these time-controls.  In fact I
> run a version off-line where I instrument this and it does not exceed 25
> ply in any line over one whole game. 
>
> There are other things that would put a hard limit on how strong it
> could potentially play, but I haven't found it yet.    
>
> - Don
>
>
>   
>> Jacques.
>>
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