Now, here we have a 'KRRNP vs knp' mate in 3 chess problem generated autonomously by the program, 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). Chesthetica is able to generate a variety of compositions using any combination of pieces. Read more about it here. 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 8 pieces goes even beyond that and was therefore composed without any such help whatsoever.
White to Play and Mate in 3
Chesthetica v11.60 (Selangor, Malaysia)
Generated on 31 Dec 2019 at 11:48:42 AM
Most changes to Chesthetica that result in a slightly higher 'version number' are simply to improve the interface, by the way. Get a glimpse into the 'mind' of a computer composer. Try to solve this puzzle. Do try some of the others in the series as well before you go. If you're bored of standard chess, though, why not try this?
Solution
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