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Computer-Generated Chess Problem 02882

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First published at 10:00 UTC on July 28th, 2020.

Chesthetica

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Take a look at this 'KRBBN vs kbn' chess problem generated autonomously by a computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity method. It does not use endgame tablebases, artificial neural networks, machine learning or any kind of typical AI. The chess board is a virtually limitless canvas for the expression of creative ideas (even by computer). (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058). Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.

8/4N3/b7/2kB1R2/1n6/2K3B1/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v11.64 (Selangor, Malaysia)
Generated on 3 Apr 2020 at 5:23:11 AM

Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. 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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