This is an archived post. You won't be able to vote or comment.

all 50 comments

[–]flostre 2 points3 points  (8 children)

Who will be the first to create a Go AI in Go?

Edit: The name should be a no-brainer.

[–]cunningjames[🍰] 8 points9 points  (2 children)


[–]adaptable 0 points1 point  (0 children)

Developed at the nightclub Go Go A Go Go.

[–]one-half 5 points6 points  (0 children)

And to start it you say "Go-Go Go Go"?

[–]rieter 3 points4 points  (1 child)

I know about at least one implementation:

[–]rieter 3 points4 points  (0 children)

This is a decent resource btw:

[–]G_Morgan 0 points1 point  (1 child)

This depends on your criteria. If you want one that doesn't win I can create it for you today. Making one that can beat a reasonably competent player will take a while longer.

[–]jmkogut 0 points1 point  (0 children)

I think I've laid out a way to serialize a Go game's moves into a 'chromosome' to use in a genetic algorithm. I think that by calculating your average density throughout certain sectors in comparison to enemy density should be good enough throughout time to determine which moves result in more chances of winning.

This'll let you run it a million times to get better I'll get to learning Go tonight.