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Computer-Generated Chess Problem 02770

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First published at 22:00 UTC on May 3rd, 2020.

Chesthetica

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Consider this 'KQRRBBN vs kqrrbnppp' study-like construct or 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. Any analysis shown for this study could be flawed as chess engines may change their recommendations given more time. The first or key move, at least, is probably right.

1r1B4/3kn1b1/4r2p/1pp4B/1q1N4/6R1/7Q/3K2R1 w - - 0 1
White to Play and Win
Chesthetica v11.47 (Selangor, Malaysia)
Generated on 1 Oct 2019 at 9:51:18 AM

Chess puzzles are ancient. Some are over a thousand years old but only in the 21st century have computers been able to compose original ones on their own like humans can. Material is even. Why not time yourself how long it took you to solve this? As a whole, these problems are intended to cater to players of all skill levels.

Artwork licensed under Creative Commons (CC0).

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