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A concise javascript chessengine, first written for the 5k web
competition. It plays at the level of a lazy amateur, so is a good
match for most opponents.
SJCE - Strong Java Chess Engines, free portable cross-platform graphical chess game, 100%-pure Java. Support with including many best free/open-source java xboard/uci chess engines. It is possible to play both White and Black. It is possible to play Human to Human, Human vs Engine, Engine vs Engine. Simple and intuitive GUI - Graphical User Interface. Tested on Windows/Linux.
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From the creator of MKGI Chess Club comes this next generation chess club. Completely re-written from scratch on the latest software frameworks, it features: social networks connection, scalable data storage, stunning graphics and much more to come.
This project has two parts:
- A Java Chess library containing board models, rules and PGN format management
- A complete Chess web application based on the core Java library
"Kenny" is an XBoard/WinBoard chessengine based on "Winglet"
...These tests were run by setting up various tournamennts on the free Chess GUI Arena Version 3.0. Kenny uses modified values for evaluation of various parameters, thus introducing almost an entirely new engine, because the evaluation function is the heart of a chessengine.
Java based client / server online games engine & API for easy creation/running of real-time multiplayer games. Games include Battleships, Camelot, Checkers, Chess, Connect 4, Dots, Go, Octagons, Texas Hold'em Poker, Reversi, Spades, Tetris & Tic-tac-toe
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Brutal Chess features full 3D graphics, an advanced particle engine, and several different levels of intelligent AI, inspired by the once popular "Battle Chess" released by Interplay circa 1988.
CINAG is an UCI computer chessengine. This is a module which thinks about the game and try to find the best move for each position. Our goal is to create a quite strong opponent by using state of the art AI technics.
SMART: SMART Minimax Analyser for Recursive Trees. The goal of the SMART project is to develop a powerful state-of-the art FICS compliant chessengine, using experimental technology (re-iterative MTDf , ETC, reinforced temporal difference learning, etc.)