Computer-Generated Chess Problem 03513
A 'KQRNN vs knn' mate in 3 chess puzzle by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, neural networks or any kind of machine learning found in traditional AI. 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 8 pieces goes even beyond that and was therefore composed without any such help.
White to Play and Mate in 3
Chesthetica v12.43 (Selangor, Malaysia)
Generated on 11 Nov 2021 at 5:54:42 AM
These chess puzzles are published in order based on the composition date and time stamp above. Due to the sheer volume of compositions generated, the latest ones may therefore only be published later on. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Did you find this one interesting or have something else to say? Leave a comment below! Feel free to copy the position into a chess engine and discover even more variations of the solution.
Solution