Now, this is a 'KQQR vs kbnn' mate in 4 chess problem generated 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 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 8 pieces goes even beyond that and was therefore composed without any such help.
White to Play and Mate in 4
Chesthetica v11.02 (Selangor, Malaysia)
Generated on 11 Feb 2019 at 9:12:26 PM
A seemingly earlier version of Chesthetica on a problem composed later (based on the date and time stamp) simply means that version may have been running on a different computer or operating system user account. Get a glimpse into the 'mind' of a computer composer. 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.
Main Line of the Solution (Skip to 0:35)
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