The SlugGo team is working towards a Fuego/GG hybrid.

But just as our cluster distributed GG added a few new evaluation functions, we are working on an additional evaluation module for Fuego. Work had been slow, but we intend complete the addition to Fuego prior to integrating that into the existing GG based SlugGo code.

I agree that Fuego has a steep learning curve, but I also think it is well worth the effort.

The basic architecture of SlugGo was designed to be a "multi-brain" approach, but when we started GG was the only open source engine available, and we always thought it best to build from an existing Go engine rather than develop our own from scratch.

Cheers,
David



On 17, Jan 2010, at 11:14 PM, petri.t.pitka...@gmail.com wrote:

Has anyone tried doing pachi/Fuego + GnuGo hybrid slightly in way Many FAces is done?

If I understood correctly Manyfaces is mostly a plausible move generator. And serac is widened via the RAVE.

So simplest hybrid could rather simple words that often used before huge effort taking for ever. When a new node is initialized:
Contact GnuGo using GTP and load situation,
send genmove,
send topmoves and you have a starting point for simulations.

Obviously this is not what GG was designed for and will do loads of overhead but could be interesting. I would have tried I but I could not get Pachi to compile under Cygwin and currently I do not a linux machine. Also Fuego had some problems building under cygwin -and has steeper learning curve. Also it would slow under cygwin. At least Pachi multicore due to threading.

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