A downloadable game for Windows and macOS

Overview:

Linear Chess is a chess engine and GUI! Play chess against your friends or against the computer. I developed the engine from scratch and it is rated at 2000 ELO right now. Updates in the future will bring this up to a target of 2400. There are plenty of features and custom games to try, so download the project and check it out! Find out if you have what it takes to beat the Linear Chess Engine!

Linear Chess Features:

- Custom Games

- End Game Training

- Game Imports

- Variable Difficulty

- Player vs CPU and Player vs Player Gameplay

More information

Status	Released
Platforms	Windows, macOS
Author	Matthew Ager
Genre	Strategy, Puzzle
Made with	GIMP, Unity, Audacity
Tags	2D, Board Game, Chess, Minimalist, Multiplayer, Pixel Art, Short, Singleplayer, Unity
Average session	About a half-hour
Languages	English
Inputs	Keyboard, Mouse
Accessibility	One button
Multiplayer	Local multiplayer
Player count	1 - 2

Download

LinearChess.zip 21 MB

Download

LinearChessMacOS.app.zip 20 MB

Development log

Chess Engine Technical Explanations
Mar 19, 2021
Development of The Linear Chess Engine
Mar 19, 2021

Comments

vilss the villager148 days ago

bug report: this engine en passants even if its not supposed to

Matthew Ager148 days ago

Thanks for the bug report, there are probably many bugs, but this project is very old and I probably won't revisit it. If you want I can upload it to GitHub for you if you want to play around with the project at all! Just let me know Vilss!

vilss the villager150 days ago (1 edit)

can you add Machine Learning to this chess engine and neural network? i did bit of testing: the evaluation bar is kinda bad because instead of mate in 8 for black the eval said -40 also the chess engine needs a few improvements

Implement advanced search algorithms

Enhance the heuristic evaluation function

Develop a comprehensive opening book.

Integrate endgame tablebases

Optimize for parallel processing.

Incorporate deep learning techniques

Tune engine parameters

Implement adaptive play strategies.

Improve time management.

Continuously test and iterate.