![]() According to Jonathan Schaeffer, a computer scientist at the University of Alberta who demonstrates A.I. After the second pair of turns, there are 197,742 possible games, and after three moves, 121 million. To put this in perspective, after both players move, 400 possible board setups exist. This is what still makes chess interesting to us humans, no machine can solve EVERY game of chess from the starting position all the way until checkmate with there always being an optimal move (as has been done with checkers), but in theory it is possible in the future. Crazily enough, there are just TOO MANY possible moves until checkmate is reached. So then Stockfish can just probe moves until checkmate, right? Another way to think about it is that a position is really only "good" if always leads to checkmate, otherwise it is technically still up in the air. So, we have to consider all possible moves, all the way until checkmate, or else that move may not actually lead to a "good" position. delivering checkmate) could lead to us losing the game. taking an uncontested queen), but a counter-move by the opponent (i.e. ![]() The only problem is that a move may be beneficial to us in the short term (i.e. Now that we know how to evaluate positions, we can examine the resulting positions from all the legal moves available and pick the best one (aka "search" for it). Rather, evaluation gives a general sense of where a position is headed in the future, it can be thought of as an approximate derivative. Remember though, evaluation does not account for everywhere the pieces could move in the future, and a positive evaluation does not ensure checkmate is imminent. An exhaustive list can be found at chessprogramming - Evaluation. Each one of these bullet points has its own unique weight that has been fine-tuned over the years. Phew, that was a long (and not even exhaustive!) list. Protected passed pawns are good, they can queen soon. Isolated pawns are bad, they cannot be defended by other pieces. These proportions are pretty close to that.Ĭontrolling (attacking/defending) center squares is better than controlling unoccupied squares.ĭefending important friendly pieces (that are in turn controlling important squares) is good.Īttacking important enemy pieces (that are in turn controlling important squares) is good.Įnjoy outposts (squares where they are sufficiently protected by a pawn) near the center of the board.Įnjoy being paired (having the other bishop still in the game) in open positions (where most pieces are not blocked) are good.Įnjoy safety on squares difficult to for the opponent to checkmate (or control every other square around).ĭoubled and tripled pawns are bad, as they have limited mobility, and therefore cannot defend each other. Humans typically use Pawn = 1, Knight/Bishop = 3, Rook = 5, and Queen = 9-10. Queen Midgame = 2521, Queen Endgame = 2558 Knight Midgame = 817, Knight Endgame = 846īishop Midgame = 836, Bishop Endgame = 857 Having more pieces is better than having less pieces. In order to tell how "good" a chess position is, Stockfish takes into account many things that human players do as well: The entirety of chess boils down to evaluating positions, and then searching for good moves. You can find the crosstable and all the PGN games here: ![]() Another interesting game lost by ProteusChess v002 against CorChess 3 100122 despite an advantage after opening (complex position) I will publish all LT tournament Proteus Chess SF games. Just challenging my dear friend Mehmet's very strong creature with my ONE MORE Stockfish derivativeĪ draw and a very nice win of Kayra 1.1 (actually #1 on my Group A LT tournament) against Proteus Chess SF v002 (classic evaluation, no NNUE). ![]() I will publish all the games In PGN draws the first 2 games against Fat Titz 2 130121 and Kayra 1.1 ) Until now, my bonus pawns modifications to enforce pawn structure seems to compensate well the lack of a neural network. Wow! Disabling NNUE (to use hand-crafted evaluations) Proteus is 3 times faster than the other SF derivative Kayra 1.1 I will release ProteusChessSF under GPLv3 attributing the original source to the Stockfish Team and never share my private engine executable before it will be really different in standard SF playing style.Īt this point, even if the NNUE and MCTS support is available, I'm not interested to the strength but to the style of the engine (I want add positional sacrifices, king safety and castle assault patterns) so hand-crafted evaluation is useful Then I will add hybrid mode.įirst heavy modifications in Pawn Bonus values seem interesting, replaced SugaR 2.50 ICCF (closed project) with ProteusChessSF on my LT tournament On this topic we discuss about how to modify Stockfish to create a DERIVATIVE engine focused on material sacrifices for positional advantage.Īll ideas, suggestions and comments are welcome!
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