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2. AlphaZero - Wikipedia

   en.wikipedia.org/wiki/AlphaZero

   AlphaZero (AZ) is a more generalized variant of the AlphaGo Zero (AGZ) algorithm, and is able to play shogi and chess as well as Go. Differences between AZ and AGZ include: [2] AZ has hard-coded rules for setting search hyperparameters. The neural network is now updated continually. AZ doesn't use symmetries, unlike AGZ.

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. Moravec's paradox - Wikipedia

   en.wikipedia.org/wiki/Moravec's_paradox

   Rodney Brooks explains that, according to early AI research, intelligence was "best characterized as the things that highly educated male scientists found challenging", such as chess, symbolic integration, proving mathematical theorems and solving complicated word algebra problems. "The things that children of four or five years could do ...

5. Computer chess - Wikipedia

   en.wikipedia.org/wiki/Computer_chess

   Computer chess includes both hardware (dedicated computers) and software capable of playing chess.Computer chess provides opportunities for players to practice even in the absence of human opponents, and also provides opportunities for analysis, entertainment and training.

6. Computer Go - Wikipedia

   en.wikipedia.org/wiki/Computer_Go

   Professionals could defeat these programs even given handicaps of 10+ stones in favor of the AI. Many of the algorithms such as alpha-beta minimax that performed well as AIs for checkers and chess fell apart on Go's 19x19 board, as there were too many branching possibilities to consider. Creation of a human professional quality program with the ...

7. AlphaGo versus Lee Sedol - Wikipedia

   en.wikipedia.org/wiki/AlphaGo_versus_Lee_Sedol

   Kasparov's loss to Deep Blue is considered the moment a computer became better than humans at chess. [17] AlphaGo is significantly different from previous AI efforts. Instead of using probability algorithms hard-coded by human programmers, AlphaGo uses neural networks to estimate its probability of winning.

8. Deep Blue (chess computer) - Wikipedia

   en.wikipedia.org/wiki/Deep_Blue_(chess_computer)

   Deep Blue was a chess-playing expert system run on a unique purpose-built IBM supercomputer.It was the first computer to win a game, and the first to win a match, against a reigning world champion under regular time controls.

9. Arimaa - Wikipedia

   en.wikipedia.org/wiki/Arimaa

   Arimaa / ə ˈ r iː m ə / ⓘ (ə-REE-mə) is a two-player strategy board game that was designed to be playable with a standard chess set and difficult for computers while still being easy to learn and fun to play for humans.