Computer-Generated Chess Problem 03468
A 'KQRPP vs kqrn' mate in 4 chess problem generated by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, deep learning or any kind of traditional AI. You can learn more about the DSNS here. 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 9 pieces goes even beyond that and was therefore composed without any such help.
White to Play and Mate in 4
Chesthetica v12.39 (Selangor, Malaysia)
Generated on 25 Sep 2021 at 11:24:40 AM
Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. White actually has less material than Black. The white army is down by about one (Shannon) pawn units in value. Leave a comment below if you like. Solving chess puzzles like this can be good for your health as it keeps your brain active. It may even delay or prevent dementia. Anyway, if standard chess isn't your thing, you might instead like SSCC.
A Similar Chess Problem by Chesthetica: 03340
Solution