On Thu, Dec 31, 2009 at 10:33 PM, Mark Higgins
<address@hidden> wrote:
I'm coding up my own little backgammon simulator in python and want to benchmark it against gnubg. I was hoping there's a gnubg python module I can install and import that would expose the underlying engine so I can pass my generate boards and dice rolls into it, and have it return the set of possible moves ordered by what it thinks expected point scores are - that sort of thing.
Does such a module exist? I googled around a bit but didn't find anything.
Hi!
I would strongly suggest that you use the benchmark databases from Josephs work. The benchmark databases can be found here:
(Plain ascii files)
The classify positions like gnubg main code, and we therefore also use the same benchmark (We mainly focus on the contact class). I believe this is the ideal way to check the strength of a bot, since it is quite fast and accurate enough. If you like this idea, look at Josephs code. I can also provide you come C code (depending on glib) which runs through a benchmark.
The other way of finding strength of a bot is to play long sessions against each other. Was that more of what you where thinking?
-Øystein
PS: Can you tell us more about your project? What's the AI technology? Neural net? What's the state? Can it do deeper searches? Cube evaluations etc? We're curious here.