Computer-Generated Chess Problem 02133

Contemplate this 'KRRBN vs krnp' chess puzzle or problem (whichever you wish to call it) composed by the 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 also no proven limit to the quantity or type of legal compositions that can be automatically generated. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not and never will be seen by human eyes. This problem with 9 pieces goes even beyond that and was therefore composed without any such help whatsoever.

R7/2K5/8/8/6p1/6r1/1R1N4/1n1k1B2 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.67 : Selangor, Malaysia
2018.6.9 7:49:24 PM

Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. White is over a rook's worth in material but the precise win in this position still needs to be found. Why not time yourself how long it took you to solve this? Some of these problems may be trivial for you, especially if you're a club or master player but bear in mind that chess lovers can be found at all levels of play. So do check out some of the other problems. You can probably find something more to your taste.

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