Le jeu d’échecs avec Lucas Chess

Eric, the main betatester of the programme, has written a guide, which allows you to go deeper into the use of Lucas Chess.

It is written in French, but in this day and age, it is not a big challenge to translate it into your own language.

As Eric points out:

Lucas Chess is an easy to use program. But it hides some features that are more complex to understand and the following pages try to clarify them.

Link to the PDF

Link to Lucas Chess documents

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LINUX - First binary version

The first official binary version of Lucas Chess on Linux has just been released. It has only been made possible by the great work done by Laudecir Daniel , choosing and compiling the 67 engines, as well as laying the groundwork so that the binaries can be more widely used and others such as shortcut creation, installation scripts, ...... In addition, Graham O'Neill has provided Linux-specific drivers for several digital boards. This version has two limitations : 64-bit Linux OS only. Minimum GNU libc version: 2.26 (ldd --version shows it) Installation has been made as simple as possible: The installer is a .sh file, generated with the makeself tool, and can be downloaded from: SourceForge , GitHub The file must be run from a terminal with user permissions only: sh ./LucasChessR123_LINUX.sh Launches a GUI with very basic options: Install: Installs in LucasChessR folder inside the home user folder. Generates a shortcut in Applications > Games Launch the application at the end

R 1.06 Maia

This update contains a major improvement with the inclusion of Maia. Maia is a neural network chess engine, created with the purpose of making her movements as human as possible. The Maia creation team has prepared 9 versions, from 1100 to 1900 of elo, and thus they have been included in Lucas Chess. You have all the information about Maia at: https://maiachess.com/

Setting analysis parameters

Since version 2.04, you can change the parameters used by the program to determine whether a move is good or bad and also the elo calculated for an analyzed game. The parameters are as follows: limit_score Default value: 2000 Minimum value: 1000 Maximum value: 4000 Data type: integer Determines the score in centipawns from which the position is considered to be totally won, that the probability of winning is 100%. curve_degree Default value: 50 Minimum value: 1 Maximum value: 100 Data type: decimal percentage Expresses the correlation between the score in centipawns and the probability of winning/losing. It associates -limit_score with 0 and +limit_score with 100. Curve formula created based in python-chess/Engine/Score/wdl difmate_inaccuracy Default value: 3 Minimum value: 1 Maximum value: 99 Data type: integer If the difference between the best move and the move made means going

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