Now, this is a 'KQRRNPP vs kqrrbb' 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, 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 13 pieces goes even beyond that and was therefore composed without any such help.
White to Play and Mate in 4
Chesthetica v12.43 (Selangor, Malaysia)
Generated on 1 Nov 2021 at 12:46:34 PM
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. 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. Anyway, if standard chess isn't your thing, you might instead like SSCC.
Solution
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