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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.
AlphaGo is a computer program that plays the board game Go. [1] It was developed by the London-based DeepMind Technologies, [2] an acquired subsidiary of Google.Subsequent versions of AlphaGo became increasingly powerful, including a version that competed under the name Master. [3]
GNU Go is a free software program by the Free Software Foundation that plays Go. Its source code is quite portable, and can be easily compiled for Linux, as well as other Unix-like systems, Microsoft Windows and macOS; ports exist for other platforms. The program plays Go against the user, at about 5 to 7 kyu strength on the 9×9 board ...
In 2002, a computer program called MIGOS (MIni GO Solver) completely solved the game of Go for the 5×5 board. Black wins, taking the whole board. [33] Number of move options. Continuing the comparison to chess, Go moves are not as limited by the rules of the game. For the first move in chess, the player has twenty choices.
KataGo is a free and open-source computer Go program, capable of defeating top-level human players. First released on 27 February 2019, it is developed by David Wu, [1] who also developed the Arimaa playing program bot_Sharp which defeated three top human players to win the Arimaa AI Challenge in 2015.
Learn how to download and install or uninstall the Desktop Gold software and if your computer meets the system requirements.
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AlphaGo won all five games. [2] [3] This was the first time a computer Go program had beaten a professional human player on a full-sized board without handicap. [4] This match was not disclosed to the public until 27 January 2016 to coincide with the publication of a paper in the journal Nature [5] describing the algorithms AlphaGo used. [2]