Computer-Generated Chess Problem 02828

This is an original 'KQRRBNN vs kqnpp' mate in 4 chess problem generated by 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. Chesthetica is able to generate mates in 3, mates in 4, mates in 5, study-like constructs and also compose problems using specific combinations of pieces fed into it (such as using only a queen vs. rook and knight). (Read more about it on ChessBase: https://en.chessbase.com/tagged?tag=Chesthetica). Noteworthy here is that a chess position with over 7 pieces could not have been derived or taken from an endgame tablebase because 7 pieces is the present limit.

2Q5/4N3/8/2p3k1/N3B3/q4pn1/4R2K/4R3 w - - 0 1
White to Play and Mate in 4
Chesthetica v11.59 (Selangor, Malaysia)
Generated on 10 Jan 2020 at 6:56:22 AM

If you notice any version of Chesthetica 'skipped' from one problem to the next, that simply means additional (minor) changes were made to the program before it was set to run again. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Why not time yourself how long it took you to solve this? Solving chess puzzles like this is probably good for your health as it keeps your brain active. Nobody wants something like early-onset Alzheimer's.

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Artwork licensed under Creative Commons (CC0).