This calls for some scripting, so here's my first hasty attempt at it ;)
Here's a quick way you can do the search on your own in python, using stockfish 10 and only the python-chess package. All open-source and free-software!
Briefly, what the script will do:
Consider all 960 positions, one at a time
For each position, it scans over all legal white moves
If you're trying to make the strongest engine possible, absolutely go for NN engines.
Traditional engines are great - Stockfish is arguably still the strongest engine on the planet on consensus equal hardware - but they are hard to write. These engines didn't get where they were overnight; they took years and years of work. Stockfish for example has been ...
If you're curious about the Stockfish code, it can be found here:
si->checkersBB = attackers_to(square<KING>(sideToMove)) & pieces(~sideToMove);
We call the attackers_to method to figure out if any pieces are attacking the king's position, including pieces on the king's side.
Bitboard Position::attackers_to(Square s, Bitboard occupied) const ...
If the engine can choose between getting mated in 2 or mated in 3, it'll choose the line where it is mated in 3 (even though the mate in 2 might be 'more difficult' to spot for humans).
It can't really set traps, because it doesn't know what things might be difficult to spot for a human (or other engine) opponent. It just evaluates the position, without ...
Where and how in Stockfish's code is check detected?
This is simple engine programming. You will need to build a bitboard of the attacking squares and two bitboards of your king, one for each color. You will then run AND on the two bitboards. If the result is non-zero, you know the king is in check.
I can show you the code in Stockfish, but does my answer ...
Using @Phonon's Python script, I was able to determine that the worst move is 1. g4?? from the BBQRNNKR starting configuration, or 1. b4?? from its mirror image.
This evaluates to -2.5 in one second of Stockfish search. Not quite a minor piece, but still a substantial handicap to recover from.
Why is this position so powerful for the opponent? The black ...
Your question has nothing to do with Stockfish. Though it may be interesting to check the original source code.
This is purely algorithmic.
One dumb solution would be implementing a boolean function (is_check) that takes an array as input representing the board. Only white pieces can check the black king, except the white king and vice versa.
If one of the ...
In the beginning years of computer chess, people have actually tried to teach computers chess in the same way as they do with humans, explaining strategic concepts like a healthy pawn structure or the initiative. These attempt were soon abandoned because the method you describe was much more successful.
Recently, there has been another attempt to let an ...
Stockfish assumes that all FEN positions you feed it are legal positions. If you feed it an illegal position and ask it to evaluate it, it will likely crash:
Stockfish 5 64 by Tord Romstad, Marco Costalba and Joona Kiiski
position fen 4k3/4p3/8/8/8/8/8/3KP3
go depth 14
Segmentation fault: 11
But you could use a Python library such as Chessnut to validate ...
Your "checkless" chess AI would run into problems with the stalemate rule. It would consider the poaition with white king on a6, white pawn a7, black king a8, a win for White because wherever Black moves his king it will get captured. In standard chess, of course, the position is a draw.
Threefold-repetition is about a position (not moves) occurring three times. Those positions do not have to be reached by the same moves.
Also (as this also seems to be confused sometimes) it is completely irrelevant when this happens, e.g. you can have the same positions after moves 10, 42 and 63 and it would still be a draw.
You should check whether the ...
A good chess engine won't stop after a predetermined number of moves, but will keep looking until the position is "quiescent", which roughly speaking means that there are no pending captures or checks. See Quiescence Search in chessprogramming wikispaces for a more detailed explanation.
There're only two protocols - UCI and Winboard. Winboard is an old protocol and not really being used nowadays. Crafty is the only major engine still supporting the Winboard protocol, but it's only because the engine is also very old. UCI is a newer protocol developed by Shredder, and is used everywhere - Windows, Macs, Linux, Android, iOS etc. UCI is really ...
Let's use Stockfish to find out the moves for this position
[fen "N7/P3pk1p/3p2p1/r4p2/8/4b2B/4P1KP/1R6 w - - 0 34"]
The FEN string is: "N7/P3pk1p/3p2p1/r4p2/8/4b2B/4P1KP/1R6 w - - 0 34". You should copy-and-paste my commands to experience yourself.
Load the position by "position fen ..." and then use "d" to print the position. Please note that "d" is a ...
Is a chess client built in Python. You can use it's chess logic libraries without much trouble.
Are examples of how you you might use the libraries to control chess engines, but you can also use just the chess ...
Easy question. Announce your engine on the chess programming forum (http://talkchess.com/forum/index.php). There'll be engine testers adding your engine to their rating list, such as CCRL. But please and please provide a working compiled binary.
Announce your engine, upload a compiled binary to somewhere like Dropbox. You'll hear feedback.
Maybe you can take a look at TalkChess, a forum dedicated to computer chess. I found a recent thread that might be interesting for you: Progress in 30 years by four intervals of 7-8 years
A couple of matches between (former) top engines are played on the same hardware. The test suggests that in the recent years (2002-2017), the gain is mainly made by ...
So, in terms of creating the strongest chess engine possible, should I go neural network or hard-coded?
Don't choose a NN unless you have access to ridiculous(A few hundred Nvidia V100s). Training a NN to play chess takes so much hardware. See the people contributing to Lc0 to train over 200 million games. Since you will probably have trouble accessing the ...
First step: Define your goals/reasons
I think this is the predominant factor. Which of these best fits you? (Choose only one)
You want to enjoy a fun, challenging coding task
You want to create an extremely good chess engine
You want to learn about how chess engines work
You want to learn/practice coding skills
You want to learn/implement computer science ...
Would this be what you are looking for? PGN-extract (A command line utility)
I can see a flag in the feature doc that might help:
-W[cm|epd|halg|lalg|elalg|san|uci] - specify the output format to use
-Whalg is hyphenated long algebraic.
-Wlalg is long algebraic
-Welalg[PNBRQK] is enhanced long ...
I imagine any chess engine must have such function. Find an open source one in your programming language of choice and draw inspiration from there.
I often use the python-chess package for simple chess programming and data mining tasks, as it offers a good API with many useful functions (available here: https://pypi.python.org/pypi/python-chess). For your ...
Computer detection of dead positions is much trickier than people think. It is unlikely that an algorithm exists that runs in reasonable time and is 100% accurate.
It is easy to check for a simple condition like insufficient material (K+B v K, K+N v K). It is less easy to check for cases with blocked pawns, for instance:
Thanks for your compliment about pgn-extract (I am its author). You might be able to make the task a little easier by adding --linelength 1000 to the argument list in order to get each game on a single line, then use sed to add an unknown result to the end of the game and re-process the game with pgn-extract to add an empty 7-tag roster. Finally, use sed ...
What you're looking for is a PGN file that contains several games. You can parse the game data and enter in the opening moves. A great resource is PGN Mentor where you can browse openings and download the appropriate PGNs.
Yes there are easy ways to do this. I'm going to briefly show you one quick way of doing it in python, using the python-chess module.
If the in-code comments are not enough, feel free to ask for clarifications or possible extensions of the code:
To showcase a working example, I've taken a game between Adams and Kasparov, you can download the PGN from the ...
Fritz allows null move entry via CTL+ALT+0. There may also be a menu option to do this.
Scid vs PC also allows this by capturing one king with the other or by using the keyboard to enter "--" i.e. hit the minus key twice.
Hiarcs also uses king takes king to enter a null move. There is also a menu option "Insert/Null Move" in the "Edit" menu, plus a ...
You seem to be writing a move generator.
Conventionally, a set of legal moves is generated by first generating a list of pseudo-legal moves (i.e. all moves which could be made, ignoring the fact that the king needs special treatment) and then filtering out moves which leave the king in check.
The legal move generator in Stockfish (one of the strongest ...
The other answer is wrong; we can in fact program the chess engine to favour traps! As you already noted, when the engine thinks it is winning it should simply choose the best move. So the question is how to aim for the sharpest lines for the opponent when it is losing. This is of course subjective, and depends on the kind of opponent we are pitting it ...
There is no need to compile your own version of Stockfish for this. Instead you can just start from a position that omits castling rights for one side or the other. The FEN for the initial position without castling rights for White is
rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w kq - 0 1
and the FEN for the initial position without castling rights for ...
It may depend a little on what your code can access, but either way you should read Ed Schröder's pages on this topic. Schröder was the author of the Rebel Chess software until his retirement about a decade ago. In the '90s Rebel was the strongest consumer/commercial chess software and the first such to beat a GM (Anand). Since retiring he turned Rebel ...