>  For quality assessment, play many games against one or more reference 
 >opponents.
It's difficult to assament algorithm with a game against humans. The game is 
young and there are no recognized masters at the moment. So it's very hard to 
find human-opponent with a really good game skills.

>  With card games you can get some serious intransitivity,  rocks, paper, 
>scissors type of stuff.
The aim of this game is to max your scores. Each turn you need to select one of 
three choices. Each choice has an expectation value of your scores. Optimal 
strategy here is to select a choice with max expectation value. But it will 
take a years to calculate an expectation value at the start of the game. So the 
game has no such intransitivity as rocks, paper, scissors.
At the last turns we can make a complete choice enumeration and calculate an 
exact scores expectation value ( does go algorithms use the same technique? ) . 
It's not the way for the first half of the game. But the first half is more 
important.

Oleg


Среда, 12 июня 2013, 14:24 -04:00 от Don Dailey <[email protected]>:
>
>
>On Wed, Jun 12, 2013 at 11:30 AM, David Fotland  < [email protected] > 
>wrote:
>>For quality assessment, play many games against one or more reference 
>>opponents.
>
>Especially for a game that is not a game of perfect information such as go or 
>chess.   With card games you can get some serious intransitivity,  rocks, 
>paper, scissors type of stuff.
>
>Don
>
>
> 
>> 
>>David
>> 
>>From: [email protected] [mailto: 
>>[email protected] ]  On Behalf Of  Oleg Barmin
>>Sent: Wednesday, June 12, 2013 8:02 AM
>>To: [email protected]
>>Subject: [Computer-go] algorithm quality assessment
>> 
>>Hi, everybody,
>>I am working at the development of a cards game algorithm using MCTS. 
>>Technically, the game model is expect minmax tree search, where direct search 
>>takes up too much time, that is why I decided to use MCTS.
>>The issue of using MCST, like any other approximation algorithm is its 
>>quality assessment. I am developing an algorithm for a game where no 
>>recognized masters exist. How do you think, guys, if for instance Go (or 
>>Amazons) provided no way to assess an algorithm playing with professional 
>>gamers (or other programs), how would you assets its quality?
>>My second question: I have not yet learned Go in and out, however in my 
>>opinion, any search of a next step should identify a number of options with 
>>similar or even the same assessment. How do you resolve this issue?
>>
>>Best regards,
>>Oleg Barmin.
>>_______________________________________________
>>Computer-go mailing list
>>[email protected]
>>http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
>


Best regards,
Oleg Barmin.
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