A newly published and original KBNPPP vs kpp mate in 4 chess problem generated by a computer 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. 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 been seen by human eyes. This problem with 9 pieces goes even beyond that and was therefore composed without any such help.
White to Play and Mate in 4
Chesthetica v11.20 (Selangor, Malaysia)
Generated on 25 Jun 2019 at 6:32:03 PM
Most changes to Chesthetica that result in a slightly higher 'version number' are simply to improve the interface, by the way. What was the machine 'thinking' when it came up with this? Do you think you could have composed something better with these pieces? Share in the comments and let us know how long it took you. Feel free to copy the position into a chess engine and discover even more variations of the solution. If you're bored of standard chess, though, why not try this?
A Similar Chess Problem by Chesthetica: 02624
Main Line of the Solution (Skip to 0:35)
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