Kosmos has granted permission to distribute the Blue Moon card images, so I've released the source code of my AI project:

http://keldon.net/bluemoon/

Currently it's only available as source code, so you'll need to compile it yourself. I realize most people will want a Windows executable, and another BGGer is in the process of making that. But in the meantime, this will be of interest to Linux users or people with a C compiler and some skill with it.

If you try it out, I'm very interested in any bugs you find, especially rules implementation errors.

EDIT: I've built a Frankenstein-ish Windows binary and put it on the web page. It seems to work for me. Let me know if it doesn't, and if and when a better Windows package is made, it'll replace mine.

Well I hope an EXE comes out b/c I have no idea how to compile or whatever it takes to play.

This is probably my fav two player game!!!

Let me say, I've been playing this like crazy, and it is excellent.

I've been playing at least two 5-crystal matchups per day. The AI plays quite well, and with a little fiddling you can "tune" it to be dumber if it beats you too much.

I just want to say - from what it reads like, you've some excellent work with this AI, especially on the deck analysis.

And now it may be a playable AI??

I'm shocked this hasn't been pounced on and praised by more Blue Moon fans (?!)

Wow, can't wait for an exe ! Sweet.

Yes please please please !!!

This is brilliant news ! I cannot wait to try it

Congrats, Keldon!

I'm glad this is officially out.

One question: you've kindly let me tryout an earlier windows executable version, and it didn't have a way to ramp-up or ramp-down the AI's difficulty, is such a feature present on this Linux version?

Thanks again for a program that's provided a lot of fun gaming!

Will, are you playing with the Linux version?

Yes. I use Linux for my job, so I don't even have a Windows computer. It's always nice when a good piece of software like this is actually usable by me.

It's not a bundled feature. I'm guessing William has trained new neural nets with fewer games than the ones I included. With less training they wouldn't play as well, or at least that's the idea.

If there's interest I could provide a set of networks with less training. Unfortunately I didn't make copies of the networks as training progressed, or I'd already have them. I'll take it as a compliment that an "easier" option is wanted!

That's exactly what I did. I found your shell script that does the training. When I'm first learning a deck, playing against neural nets with only 100 rounds of training is fun; I can win easily, so it lets me see how my cards work when they succeed. Then I ramp up the training until I have to really work at it to win.

Interestingly, some decks seem to play better with less training than others, and not always the ones I expect. I find that playing against a 400-round Vulca is still pretty easy, but Hoax (which I would expect would be a harder deck to learn to play) gets pretty tough around that level.

Doing the short-round training is also very fast, of course, because there are fewer rounds, so I can basically make them on the fly when I want one.

Thanks Keldon, for all of your hard work in making this for everyone to enjoy! Thank You VERY VERY much!