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Computer-Generated Chess Problem 02662

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First published at 10:00 UTC on March 9th, 2020.

Chesthetica

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Published online for the first time, consider this KQRRN vs krrbp #3 chess problem generated by a computer 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. Depending on the type and complexity of the problem desired, a single instance of Chesthetica running on a desktop computer can probably generate anywhere between one and ten problems per hour.

4R3/K1Q5/3R4/8/5p2/1Nr5/4br2/4k3 w - - 0 1
White to Play and Mate in 3
Chesthetica v11.20 (Selangor, Malaysia)
Generated on 13 May 2019 at 1:25:16 PM

Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. Get a glimpse into the 'mind' of a computer composer. Leave a comment below, if you like. Solving chess puzzles like this can also help improve your game.

Artwork licensed under Creative Commons (CC0).

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