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  2. Lucena position - Wikipedia

    en.wikipedia.org/wiki/Lucena_position

    A position where white wins with optimal play, regardless of who has the next move The Lucena position is a position in chess endgame theory where one side has a rook and a pawn and the defender has a rook.

  3. Tsume shogi - Wikipedia

    en.wikipedia.org/wiki/Tsume_shogi

    Another type is the tsugi no itte 'best next move' problem, which is non-checkmate problem of which the goal is to find the next best move/s that will give you an advantage, which may be encompass the endgame close to checkmate but may also include opening and middlegame strategies.)

  4. Endgame tablebase - Wikipedia

    en.wikipedia.org/wiki/Endgame_tablebase

    Rxh2 2. 0-0-0# A tablebase discovered that 1. h4 also wins for White in 33 moves, even though Black can capture the pawn (which is not the best move – in case of capturing the pawn black loses in 21 moves, while Kh1-g2 loses in 32 moves).

  5. Null-move heuristic - Wikipedia

    en.wikipedia.org/wiki/Null-move_heuristic

    The faster the program produces cutoffs, the faster the search runs. The null-move heuristic is designed to guess cutoffs with less effort than would otherwise be required, whilst retaining a reasonable level of accuracy. The null-move heuristic is based on the fact that most reasonable chess moves improve the position for the side that played ...

  6. Saavedra position - Wikipedia

    en.wikipedia.org/wiki/Saavedra_position

    Saavedra, a Spanish priest who lived in Glasgow at the time, was a weak amateur player; his sole claim to fame in the chess world is his discovery of this move. [ citation needed ] The modern form of the position was obtained by Emanuel Lasker (in The Brooklyn Daily Eagle , June 1, 1902, p.

  7. Darkforest - Wikipedia

    en.wikipedia.org/wiki/Darkforest

    Darkforest uses a neural network to sort through the 10 100 board positions, and find the most powerful next move. [9] However, neural networks alone cannot match the level of good amateur players or the best search-based Go engines, and so Darkfores2 combines the neural network approach with a search-based machine.

  8. Mac Hack - Wikipedia

    en.wikipedia.org/wiki/Mac_Hack

    In about 2004, he had an opportunity to tell Alan Kotok that searching the 7 best moves at each of the first two plies, and limiting the search depth to two would have done better than the default widths of "4 3 2 2 1 1 1 1", attempting eight plies in Kotok-McCarthy's REPLYS subroutine which generated each player's next plausible moves.

  9. Kasparov's Gambit - Wikipedia

    en.wikipedia.org/wiki/Kasparov's_Gambit

    An inline glossary of chess terms; A library of 500 famous games played by past world champions; An auxiliary graphical chessboard showing the computer's analysis while playing or reviewing moves; An interactive move list; An analysis text box, showing move's elapsed time, depth, score of the best evaluated line and number of positions seek