Computer-Generated Chess Problem 03131
Published online for the first time, consider this KQRB vs krrbnpp study construct generated by the program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. Chesthetica is able to generate various types of mates and study-like constructs and also compose problems using specific combinations of pieces fed into it (such as using only two bishops versus knight). Learn more about it on ChessBase. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not been seen by human eyes. This problem with 11 pieces goes even beyond that and was therefore composed without any such help.
White to Play and Win
Chesthetica v12.18 (Selangor, Malaysia)
Generated on 25 Dec 2020 at 1:41:26 PM
If you notice an earlier version of Chesthetica listed with a newer problem, that simply means an earlier version may have been running on a different computer or OS user account. White actually has less material than Black yet still wins. The white army is down by about 1 (Shannon) pawn units in value. Leave a comment below, if you like. Solving chess puzzles like this can also help improve your game.
Solution