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2. Computer Go - Wikipedia

   en.wikipedia.org/wiki/Computer_Go

   The Computer Go Room on the K Go Server (KGS) for online discussion and running "bots" Two Representative Computer Go Games, an article about two computer Go games played in 1999, one with two computers players, and the other a 29-stone handicap human-computer game; What A Way to Go describes work at Microsoft Research on building a computer Go ...

3. AlphaGo - Wikipedia

   en.wikipedia.org/wiki/AlphaGo

   Decommissioned AlphaGo backend rack. Go is considered much more difficult for computers to win than other games such as chess, because its strategic and aesthetic nature makes it hard to directly construct an evaluation function, and its much larger branching factor makes it prohibitively difficult to use traditional AI methods such as alpha–beta pruning, tree traversal and heuristic search.

4. Go software - Wikipedia

   en.wikipedia.org/wiki/Go_software

   There is an abundance of go software available to support players of the game of Go.This includes software programs that play Go themselves, programs that can be used to view and/or edit game records and diagrams, programs that allow the user to search for patterns in the games of strong players and programs that allow users to play against each other over the Internet.

5. AlphaGo versus Lee Sedol - Wikipedia

   en.wikipedia.org/wiki/AlphaGo_versus_Lee_Sedol

   AlphaGo versus Lee Sedol, also known as the DeepMind Challenge Match, was a five-game Go match between top Go player Lee Sedol and AlphaGo, a computer Go program developed by DeepMind, played in Seoul, South Korea between the 9th and 15th of March 2016.

6. Crazy Stone (software) - Wikipedia

   en.wikipedia.org/wiki/Crazy_Stone_(software)

   Crazy Stone (Champion Go on iOS and Android platforms) is a Go playing engine, developed by Rémi Coulom, a French computer scientist. It is one of the first computer Go programs to utilize a modern variant of the Monte Carlo tree search .

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