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Computer-Generated Chess Problem 02363

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First published at 05:27 UTC on October 12th, 2019.

Chesthetica

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What we have here is a 'KQBBNP vs kqrbn' mate in 3 chess problem generated by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, deep learning or any kind of traditional AI. There is no known limit to the quantity or type of compositions that can be generated. This position contains a total of 11 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.

q7/4B3/4r3/2Q1N3/5k1b/1K3B1P/7n/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.11.9 7:21:26 AM

White actually has less material than Black yet still wins. The white army is down by about 1 (Shannon) pawn units in value. Try to solve this puzzle. Do try some of the others in the series as well before you go. Over time, the tactics you see in these puzzles will help you improve your game.

Artwork licensed under Creative Commons (CC0).

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