(Sorry for the delete / retype but part of my text keeps disappearing, click on ‘show quoted text’ at the bottom)
Hi Bingen,
Thanks for the correction. I had thoroughly tested my bash file on a new Picochess system and already had the files at hand, so in my haste to document the process I inadvertently missed out the ‘git’ from the instructions even though I use it all the time, sorry .....
The Adapt part, is part of Martin’s PyTuroChamp “ Python implementations of early chess engines” full documentation here:
https://mdoege.github.io/PyTuroChamp/
The relevant documentation is here:
Simple Adaptive Engine by default uses Stockfish to examine the five best moves in a position for three seconds and then picks the one closest to an evaluation of one pawn in favor of the player. It therefore adapts to different playing strengths.
ev (SAE): Similar to PlayerAdvantage, but in centipawns: target evaluation which the engine tries to maintain. 100 is the default, 300 would mean one bishop advantage for the player. Negative values also work.
So the 4 levels are:
1) 3 pawns in favour of the player (easiest)
2) 1 pawn in favour of the player
3) 1 pawn in favour of the computer
4) 3 pawns in favour of the computer (hardest)
Just for clarity here’s the correct procedure to add the 2 Engines:
Adapt - An Adaptive engine by Martin Doege (2019) inspired by DGT Centaur. Dirk Mollmann bought this to my attention. This has 4 adaptive levels.
Crystal-Honey - by my friend Michael Byrne, a Hybrid of Engines Crystal by Joe Ellis and Honey by Michael Byrne, both Stockfish derived. This has 29 Normal levels and 3 Adaptive levels.
To install you will need to use a terminal logged into your Raspberry Pi:
Type:
pwd and make sure you are in your /home/pi folder
Type:
sudo git clone
https://github.com/ScallyBag/AlsPicoEngines This will copy my files to your Raspberry Pi
Type:
sudo git clone
https://github.com/mdoege/PyTuroChamp This will copy Martin’s files to your Raspberry Pi
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