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Computer-Generated Chess Problem 02889

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First published at 10:00 UTC on August 4th, 2020.

Chesthetica

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An original 'KQRBN vs kqbpp' mate in 3 chess problem generated by the 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. The position below contains 10 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.

5q2/3k4/bp2p3/Q1R3B1/8/5NK1/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v11.65 (Selangor, Malaysia)
Generated on 7 Apr 2020 at 1:07:05 PM

The chess problems are published chronologically based on the composition date and time. However, later compositions may have an earlier version of Chesthetica listed because more than one computer (not all running the same version of the program) is used. White is over a rook's worth in material but the precise win in this position still needs to be found. Leave a comment below, if you like. Take some time to study the analysis and you might appreciate the puzzle a little more.

Artwork licensed under Creative Commons (CC0).

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