Sigma Chess is a freeware, master strength Macintosh chess program for Mac OS X. The feature set includes: Optional HIARCS engine, UCI Engine support, Databases, PGN/EPD, basic desktop publishing, endgame databases, novice levels...
Lucas Chess For Mac
HIARS Chess Explorer is intended for chess player, both beginners and experts. The application is powered by the popular HIARS Chess Engine and allows not only playing but also maintaining a database and analyzing games.
ExaChess is a powerful, full-featured chess-database program for the Macintosh. It can manage a database of millions of master games, serve as a chessboard to play through games, and be used as a tool to record and annotate your own games...
chess - tactics and strategy is a chess training program for the different levels (beginner - advanced). Main features: - Friendly navigation, nice user interface. - UCI and XBOARD chess engines are supported.
Lucas Chess is a chess game with a chess trainer built in designed to help you beat increasingly difficult opponents with a limited number of hints. The aim is to play chess against the computer with increasing levels of difficulty and with a limited number of hints that are given by a chess tutor. Also included are thousands of training positions such as different types of endgames, tactical combinations and chess problems (mate in 2,3,4 and more). The computer uses different chess programs (so-called chess engines) of various strength. The user starts playing against the weakest engine at first. Initially the engine plays with limited strength but as the user wins more games the engine will be given more calculation time and its strength will improve. Eventually the engine will reach its maximum level of strength and if the user continues to win he will be passed to the next stronger engine and so forth.
HIARCS Chess Explorer for Mac is the established best chess software for chess database, analysis and game playing on Apple Mac. It offers an intuitive graphical user interface with powerful features together with the Single Core version of World Chess Software Champion HIARCS 14 chess engine. The product is refreshingly easy to use and includes many features for managing chess databases, chess preparation, analysis and training for players of all abilities from beginner to Grandmaster.
We also thank Eugene Nalimov and Andrew Kadatch for their kind permission to use their access code (copyright (c) Eugene Nalimov) and decompression code (copyright (c) Andrew Kadatch) for Nalimov tablebases in HIARCS chess engines.
Rybka - for the serious chess player. #Installation Installation. Installation Installation Instruction: Rybka is an UCI chess engine. Install one of the graphical user interfaces (GUIs) from the list below and install Rybka in this interface by following the appropriate instructions (click on the name of the GUI): If you've got any questions, just visit our forum. Free GUI Downloads by (for playing against engines/training). Linux The 32-bit version of Rybka can be used under Linux with the program.
Learn how to play chess or improve your skills using a broad array of strategies. Select the difficulty level, access multiple tutorials, and get acquainted with various training positions, endgames, tactical combinations, and chess problems. The solution comes with Stockfish, Gaia, Cyrano, and many other algorithms.
Lucas chess 11.17 was available to download from the developer's website when we last checked. We cannot confirm if there is a free download of this software available. We recommend checking the downloaded files with any free antivirus. Lucas chess lies within Games, more precisely Board.
This free software is a product of Lucas Monge. The most popular versions among Lucas chess users are 11.1, 10.1 and 10.0. The common filename for the program's installer is Lucas.exe. The latest version of Lucas chess can be downloaded for PCs running Windows XP/Vista/7/8/10/11, 32-bit.
Lucas chess is a Chess game with 40 chess engines of varying levels, from 0 to 3300 elo. In Lucas Chess there are several competitions, and in two of them you can publish the results. The first is a one-to-one competition against all the engines, starting with the weakest; initially in each engine many hints are available, and as you progress, the are reduced.
We trained 9 versions of Maia, one for each Elo milestone between 1100 and 1900. Maia 1100 was only trained on games between 1100-rated players, and so on. Each version learned from 12 million human games, and learns how chess is typically played at its specific level.
As a comparison, we looked at how depth-limited Stockfish does on the same prediction task. We ran various depth limits, ranging from only considering the current board (D01) to letting it search 15 plies ahead (D15). Depth-limited Stockfish is the most popular engine to play against for fun (e.g. the "Play with the Computer" feature on Lichess).
You can play against Maia yourself on Lichess! You can play Maia 1100, Maia 1500, and Maia 1900. Maia is an ongoing research project using chess as a case study for how to design better human-AI interactions. We hope Maia becomes a useful learning tool and is fun to play against. Our research goals include personalizing Maia to individual players, characterizing the kinds of mistakes that are made at each rating level, running Maia on your games and spotting repeated, predictable mistakes, and more.
The code for training Maia can be found on our Github Repo. Abstract As artificial intelligence becomes increasingly intelligent--in some cases, achieving superhuman performance--there is growing potential for humans to learn from and collaborate with algorithms. However, the ways in which AI systems approach problems are often different from the ways people do, and thus may be uninterpretable and hard to learn from. A crucial step in bridging this gap between human and artificial intelligence is modeling the granular actions that constitute human behavior, rather than simply matching aggregate human performance. We pursue this goal in a model system with a long history in artificial intelligence: chess. The aggregate performance of a chess player unfolds as they make decisions over the course of a game. The hundreds of millions of games played online by players at every skill level form a rich source of data in which these decisions, and their exact context, are recorded in minute detail. Applying existing chess engines to this data, including an open-source implementation of AlphaZero, we find that they do not predict human moves well. We develop and introduce Maia, a customized version of Alpha-Zero trained on human chess games, that predicts human moves at a much higher accuracy than existing engines, and can achieve maximum accuracy when predicting decisions made by players at a specific skill level in a tuneable way. For a dual task of predicting whether a human will make a large mistake on the next move, we develop a deep neural network that significantly outperforms competitive baselines. Taken together, our results suggest that there is substantial promise in designing artificial intelligence systems with human collaboration in mind by first accurately modeling granular human decision-making.
All our data is from the wonderful archive at database.lichess.org. We converted the raw PGN raw data dumps into CSV, and have made the CSV we used for testing available at csslab.cs.toronto.edu/datasets.
Many thanks to Lichess.org for providing the human games that we trained on and hosting our Maia models that you can play against. Ashton Anderson was supported in part by an NSERC grant, a Microsoft Research gift, and a CFI grant. Jon Kleinberg was supported in part by a Simons Investigator Award, a Vannevar Bush Faculty Fellowship, a MURI grant, and a MacArthur Foundation grant.
Chess software comes in different forms. A chess playing program provides a graphical chessboard on which one can play a chess game against a computer. Such programs are available for personal computers, video game consoles, smartphones/tablet computers or mainframes/supercomputers. A chess engine generates moves, but is accessed via a command-line interface with no graphics. A dedicated chess computer has been purpose built solely to play chess. A graphical user interface (GUI) allows one to import and load an engine, and play against it. A chess database allows one to import, edit, and analyze a large archive of past games.
This list contains only chess engines for which Wikipedia articles exist yet and therefore is very incomplete. It does not reflect or imply current or historic play strength as this characteristic in itself usually does not warrant an entry on Wikipedia. 2ff7e9595c
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