Here is a new 'KRBNN vs knpp' chess puzzle or problem (whichever you wish to call it) composed 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. There is no known limit to the quantity or type of compositions that can be generated. This position contains a total of 9 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.
White to Play and Mate in 3
Chesthetica v11.59 (Selangor, Malaysia)
Generated on 31 Dec 2019 at 3:09:51 AM
Even with the same version number, each copy of Chesthetica 'evolves' and performs somewhat differently over time. White is over a rook's worth in material but the precise win in this position still needs to be found. Try to solve this puzzle. Do try some of the others in the series as well before you go. Take some time to study the analysis and you might appreciate the puzzle a little more. Anyway, if standard chess isn't your thing, you might instead like SSCC.
Solution
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