A new if not unique KQNNPP vs kpp mate in 3 chess problem generated autonomously 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 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.
White to Play and Mate in 3
Chesthetica v12.43 (Selangor, Malaysia)
Generated on 9 Nov 2021 at 1:45:10 PM
Some of the earliest chess problems by humans are over 10 centuries old but original ones by computer are very recent. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Looking at the position, it is somewhat cluttered. Try to solve this as quickly as you can. If you like it, please share with others. Over time, the tactics you see in these puzzles will help you improve your game.
A Similar Chess Problem by Chesthetica: 00374
Solution
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