A ‘KQRRN vs krnp’ mate in 3 chess problem generated by Chesthetica using the ‘Digital Synaptic Neural Substrate’ computational creativity method. It does not use endgame tablebases, artificial neural networks, machine learning or any kind of typical AI. The chess board is a virtually limitless canvas for the expression of creative ideas (even by computer). You can learn more about the DSNS here. The position below contains 9 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.
3n4/8/2r5/Nk3K2/1p6/R7/2R5/4Q3 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 6 Aug 2019 at 4:49:47 PM
Solvability Estimate = Difficult
Most changes to Chesthetica that result in a slightly higher ‘version number’ are simply to improve the interface, by the way. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Try to solve this as quickly as you can. If you like it, please share with others. 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.
Main Line of the Solution