This is an original 'KQBB vs kqbnpp' mate in 3 chess problem generated autonomously by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use endgame tablebases, neural networks or any kind of machine learning found in traditional artificial intelligence (AI). It also has nothing to do with deep learning. 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 10 pieces goes even beyond that and was therefore composed without any such help.
White to Play and Mate in 3
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 22 Aug 2019 at 5:25:23 AM
Get a glimpse into the 'mind' of a computer composer. Try to solve this as quickly as you can. If you like it, please share with your friends. As a whole, these problems are intended to cater to players of all skill levels. Anyway, if standard chess isn't your thing, you might instead like SSCC.
Solution
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