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Computer-Generated Chess Problem 02752

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First published at 10:00 UTC on April 23rd, 2020.

Chesthetica

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Consider this 'KBNNPPP vs krrnpp' chess problem generated autonomously by 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. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.

5r2/1NkNP3/2PpPp2/1n1r4/8/2B2K2/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 18 Sep 2019 at 10:24:04 AM

What was the machine 'thinking' when it came up with this? Do share and try out some of the others too. 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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