Now, this is a 'KQRBP vs kqr' mate in 5 chess problem generated autonomously by a computer 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. The position below contains 8 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 5
Chesthetica v12.43 (Selangor, Malaysia)
Generated on 5 Nov 2021 at 8:17:49 PM
Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. White is significantly ahead in material. Did you find this one interesting or have something else to say? Leave a comment below! Feel free to copy the position into a chess engine and discover even more variations of the solution.
A Similar Chess Problem by Chesthetica: 03451
Solution
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