Contemplate this 'KRRBN vs knpp' mate in 3 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. The chess board is a virtually limitless canvas for the expression of creative ideas (even by computer). Depending on the type and complexity of the problem desired, a single instance of Chesthetica running on a desktop computer can probably generate anywhere between one and ten problems per hour. 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 3
Chesthetica v11.20 (Selangor, Malaysia)
Generated on 13 May 2019 at 3:18:15 AM
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. As a whole, these problems are intended to cater to players of all skill levels. If you're bored of standard chess, though, why not try this?
Similar Chess Problems by Chesthetica: 01298 01306
Main Line of the Solution (Skip to 0:35)
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